69 results about "Random array" patented technology

The invention provides a binding authentication method, equipment and a medium, which are applied to the technical field of equipment authentication. The binding authentication method comprises the following steps: receiving a first verification value sent by a fingerprint module; generating a second verification value according to the hardware information of the current mainboard and the corresponding dynamic salt value; if the first verification value is the same as the second verification value, sending a random array to the fingerprint module, so that the fingerprint module performs private key signature on the random array; obtaining signature information obtained after the fingerprint module performs private key signature on the random number group, and analyzing the signature information to obtain an analysis result; and if the analysis result accords with the dynamic verification standard, controlling the fingerprint module to enter a fingerprint working mode. Therefore, an authentication mechanism of hybrid binding of the hardware information and the dynamic salt value is adopted, and hardware binding of the fingerprint module and the host is ensured; and the uniqueness and the use safety of the fingerprint module are ensured through dual protection of static authentication of the verification value and dynamic authentication of the random array.

The invention discloses a bidirectional remote encryption multi-system interactive communication authentication method and an operation platform. The method specifically comprises the following steps: receiving a first ciphertext sent by Internet of Things equipment; decrypting the first ciphertext by using a private key of the operation platform to obtain a decryption random number; a platform random number is generated, the platform random number and the decryption random number are combined and then encrypted by using the public key of the Internet of Things equipment, and a second ciphertext is generated; sending the second ciphertext to the Internet of Things equipment, and receiving a third ciphertext sent by the Internet of Things equipment; generating a platform session key according to the decryption random number and the platform random number, decrypting the third ciphertext by using the platform session key to obtain a second decryption result, and verifying the second decryption result; and under the condition that the verification is passed, transmitting data to the Internet of Things equipment.

The invention discloses a two-dimensional angle estimation method for a random array in a non-uniform noise scene, and the method comprises the steps: obtaining response signals collected by an EMVS array in random geometric distribution, and obtaining a covariance matrix of the response signals; removing the covariance influence of non-uniform noise in the covariance matrix to obtain a noise-free signal covariance tensor estimated value; the noise-free covariance matrix is recovered based on tensor filling, and a third-order PARAFAC tensor is obtained; and decomposing the third-order PARAFAC tensor based on a parallel factorization algorithm to obtain an azimuth angle and a polarization angle of the source signal. According to the method, the two-dimensional angle of the random array in the non-uniform noise scene is estimated based on tensor filling and parallel factorization, the two-dimensional direction-of-arrival estimation precision in the non-uniform noise environment can be improved while the aperture of the array is kept, and the defects in the aspects of noise suppression, calculation complexity and estimation precision in the prior art are overcome.

The invention discloses a solar cell thermal buffer layer material screening method and system based on a neural network, and relates to the technical field of materials science, and the method comprises the steps: building a solar cell thermal buffer layer material data set according to various material performance parameters in a Matweb database; based on the material data set, training a dense connection convolutional neural network model for predicting the thermal expansion coefficient and the elastic modulus of the material; according to the stress simulation data of the target solar battery pack in the specific employment environment, the tuning matching value of the thermal expansion coefficient and the elastic modulus is determined; inputting a random array into the trained model to obtain a material performance array corresponding to the tuning matching value of the thermal expansion coefficient and the elastic modulus; and according to the material performance array, based on the solar cell thermal buffer layer material data set, screening the solar cell thermal buffer layer material of the target solar cell pack in the specific employment environment. According to the invention, the material screening efficiency can be improved.

The invention relates to a power data hybrid encryption transmission method, system and device, and a readable storage medium. The method comprises the following steps: S1, encrypting a power data plaintext by using a session key to obtain a ciphertext; s2, cutting the ciphertext into a plurality of sections of sub-ciphertexts, combining the sub-ciphertexts with unique random numbers to obtain a plurality of combinations of the sub-ciphertexts and the random numbers, and combining the random numbers to obtain a random number group; randomly sorting the plurality of sub-ciphertexts and random number combinations to obtain a random ciphertext array; s3, encrypting the session key and the random array, and performing digital signature on the random ciphertext array; s4, transmitting the encrypted random array, the session key, the random ciphertext array and the digital signature to a receiver in a parallel communication mode; s5, the receiver verifies and decrypts for many times to obtain the electric power data, the problem that data safety and data transmission efficiency cannot be considered in the existing electric power transmission process is solved, the data transmission safety is improved, and it is ensured that the transmission speed cannot be greatly reduced.

A method performed by a server for authentication at a service provider includes generating a sequence X of secret locations SLn and deceiving locations DLk associated with an image, wherein the deceiving locations DLk are associated with a random array Vi of vibrations pattern, wherein i, n, and k are integers with k smaller than n, and granting access to an electronic device to the server when taps received from the electronic device, and associated with the secret locations SLn and the deceiving locations DLk, correspond to the sequence X. Each vibration of the random array Vi of vibrations pattern is associated with a corresponding deceiving location DLk.

The invention belongs to the technical field of communication signal processing, and more specifically relates to a DOA estimation method based on self-supervised contrast learning under a non-ideal array. The invention provides a two-stage cascade DOA (direction of arrival) estimation framework. The framework is composed of two modules which are respectively a control reconstruction network (CRN) and a direction of arrival (DOA) estimation network (DEN), and the two modules are respectively a control reconstruction network (CRN) and a direction of arrival (DOA) estimation network (DEN). The CRN adopts self-supervised contrast learning to recover a covariance matrix, so that the network has robustness when facing array defects. And the DEN takes the reconstructed covariance matrix output by the CRN as input to complete a DOA estimation task. In order to improve the generalization ability of the network, non-ideal enhancement modes such as amplitude disturbance, phase disturbance and random array element shielding are introduced into a training sample, and a two-stage training strategy is adopted to optimize CRN and DEN network parameters respectively.

The embodiment of the invention provides an anonymous identity verification method and device. According to the method, a first device generates a binary indication vector and an auxiliary vector having a predetermined relationship with the binary indication vector according to a serial number index of a first account in a target account set; and generating a signature value C according to the indication vector, the auxiliary vector and the private key of the first account. And calculating a first public key vector according to the first random number selected by the verification device and the public key sequence of the target account set, and calculating a blind value based on the first public key vector and the random number group selected by the local party. The first device also generates first and second sets of commitment values according to the indication vector, the auxiliary vector, and the challenge array and the variable value selected by the verification device. The first device provides the signature value C, the blind value, and the first and second sets of commitment values to a verification device, whereby the verification device verifies whether the first account belongs to the target account set.

The invention discloses a monitoring and positioning method and system for surface discharge of an overhead line system insulator, and belongs to the technical field of electrical equipment fault detection. The method comprises the following steps: step 1, installing a microphone sampling module on a connecting pipe of a cantilever insulator shoulder frame of the overhead line system; 2, constructing a three-dimensional coordinate system by taking the microphone sampling module as a center; step 3, acquiring a frequency range of a railway insulator surface discharge ultrasonic signal, and setting an acquisition frequency range of a microphone acquisition module; 4, ultrasonic signals generated by insulator surface discharge are detected through a microphone sampling module, sound source space energy summation is conducted through a random array delay summation beam forming algorithm, and then the position coordinates of a discharge point are calculated according to the distance; and step 5, generating a fault alarm in combination with a set threshold criterion. According to the method, millimeter-level positioning of insulator surface discharge is realized through fusion of the acoustic array and the adaptive algorithm, and the method has the characteristics of high electromagnetic interference resistance and high response speed.

The secret distribution device has a true random number generation section that generates true random numbers, and a calculation section that performs secret distribution on a value obtained by multiplying k (k > 1) true random numbers from the true random number generation section, performs calculation on the inverse of one of the k true random numbers, and combines the inverse with one of the distributed values after secret distribution, and performs calculation on k sets of conversion random numbers.

The application is suitable for the technical field of image display control, and provides a display control method, a display control device and a display screen controller, which comprises the following steps: determining S different random arrays corresponding to S LED dot arrays respectively; determining the cumulative value of the values included in the random arrays to obtain the total number of time segments corresponding to each random array; for each random array, determining the time segment duration corresponding to each value included in the random array according to the display duration of a single image frame and the total number of time segments corresponding to the random array; after obtaining an image frame to be displayed, determining, for each LED dot array, whether the LED dot array is lit on the time segment corresponding to the value included in the random array corresponding to the LED dot array according to the image data corresponding to the LED dot array in the image frame and the total number of time segments. Through the above method, the probability of leaking the displayed information of the LED display screen when displaying information can be reduced.

The present invention aims to solve the problem of poor versatility or zero-point drift caused by the presence of background noise in oscilloscope sampling, which accumulates continuously during the numerical integration process, leading to distortion of the integrated waveform. The present invention provides a numerical integration method for autonomously eliminating zero-point drift of pulse signals. The present invention eliminates the DC component and random component in the oscilloscope background noise in stages. First, a random array is defined and assigned to the sampling results of the DC component in the oscilloscope background noise, thereby maintaining an integer multiple relationship between the signal and the oscilloscope vertical resolution d0. Second, by analyzing the characteristic parameters of the integrated signal and its distribution, data processing is performed to obtain a discrete signal after random component elimination. This eliminates the need for manual identification of the starting and ending points of the signal, thereby perfectly retaining the pulse signal monitored by the oscilloscope.

Embodiments of the present specification provide a data processing method and device. The method is performed by any target party in multiple parties, comprising: first acquiring two table shards corresponding to two data tables, and a target table shard corresponding to any target table in the two data tables is one of multiple secret sharing shards of the target table; then, for the target table shard, based on a primary key column sub-shard contained in the target table shard and a corresponding generated key shard, a pseudo-random array sub-shard is determined for restoring a pseudo-random array; the target table shard is subjected to permutation processing based on the pseudo-random array to obtain a corresponding sorted table shard; and then, based on two sorted table shards corresponding to the two table shards, a connection table shard is determined, which is one of multiple secret sharing shards of a primary key connection table corresponding to the two data tables.

The present application relates to a Bayesian network structure optimization method and device based on the BRKGA algorithm. The method comprises: generating a random key vector composed of multiple random numbers between [0,1]; using the NO TEARS algorithm as a decoder to decode the random key vector to obtain an initial solution to the Bayesian network structure optimization problem; calculating the fitness value of each initial solution according to the initial solution and a pre-set loss function; sorting the fitness values ​​to obtain an elite individual set; using a genetic algorithm to perform crossover and mutation operations according to the elite individual set, and outputting a global approximate solution to the Bayesian network structure optimization problem; the global approximate solution is a continuous value matrix; discretizing the continuous value matrix to obtain a global approximate adjacency matrix, and obtaining an optimized Bayesian network structure according to the global approximate adjacency matrix. The present method can improve the accuracy of Bayesian network structure learning.

The present disclosure relates to an image sensor and a manufacturing method therefor. The image sensor comprises at least one pixel cell, and each pixel cell comprises: a photosensitive element; and a pseudo-random array diffractive optical element (PRADOE) located in front of a light receiving side of the photosensitive element and comprising an array of unit structures oriented at a pseudo-random angle. The PRADOE is configured to cause multi-order diffraction of light to be received by the photosensitive element.

The embodiment of the invention discloses a random array sound vortex generation method, device and equipment and a storage medium, and belongs to the field of sound vortexes, and the method comprises the steps: building a sound field model from a random array to an observation plane, and determining the sound pressure distribution of ideal sound vortexes; expressing the sound pressure distribution of the ideal sound vortex by using a sparse representation basis, and generating a linear relationship between the sparse representation basis and a driving signal; establishing a relationship between the sparse coefficient and the sound pressure of the observation point by using the sensing matrix; minimizing the error between the actual sound pressure generated by the sparse coefficient through the sensing matrix and the sound pressure distribution as a target, and utilizing L1 norm penalty to make the sparse coefficient sparse to obtain an optimized sparse coefficient; and calculating according to the optimized sparse coefficient to obtain a driving signal vector. The geometric limitation of a traditional uniform circular array is broken through, and the flexibility and robustness of array design are improved. The array configuration and the number of units can be optimized for different scenes.

The invention provides an anti-co-frequency interference algorithm for ultrasonic ranging, which comprises the following steps of: sending ultrasonic pulses to a space provided with a plurality of obstacles, and sampling echoes returned by the obstacles; obtaining obstacle data by calculating echoes, wherein the obstacle data comprises but is not limited to echo height, echo width and duty ratio thereof; according to the obstacle data, performing sectional filtering processing on interference variables in echoes; and adopting a plurality of prime number random arrays to carry out dislocation processing on the ultrasonic pulses and the echoes, adding random difference assignment, and repeating the steps. According to the invention, the interference variable in the echo signal is subjected to sectional filtering processing, the waveform is sent and received by using the prime number random array for dislocation processing, and the random difference value assignment is added; and the effect of effectively filtering ultrasonic co-frequency interference and external interference signals on the premise of not influencing the response speed of ultrasonic ranging to the greatest extent is achieved.

The invention provides a 5G gateway identity authentication method and device based on a block chain and a storage medium, and the method comprises the steps: obtaining a gateway identity token by a to-be-authenticated 5G gateway, and generating a gateway private key and a random number group based on a preset encryption algorithm; the to-be-authenticated 5G gateway performs segmented encryption on the gateway identity token according to the random number group to obtain a check code with overlapped segments; the to-be-authenticated 5G gateway generates an authentication key group according to the gateway identity token; the to-be-authenticated 5G gateway encrypts the check code according to the gateway private key, the random number group and the authentication key group to generate an authentication ciphertext, and uploads the authentication key group and the authentication ciphertext to the block chain; and the block chain carries out decryption verification and transaction registration according to the authentication key group and the authentication ciphertext, links a corresponding verification record for evidence storage after the verification is passed, and triggers the 5G core network to issue a session key to the to-be-authenticated 5G gateway.

Methods provide device authentication for an intrusion detection system implementing building automation and control network (BACnet) Master-Slave / Token-Passing (MS / TP). An authentication protocol provides countermeasures to vulnerabilities in the BACnet MS / TP physical layer by utilizing an extended message format to cloak device identifiers (IDs). Adversaries are prevented from using known device IDs to gain access to the network. An authenticating device hashes a device identifier of a device to be authenticated combined with a random number. The authenticating device receives a hash of the random number plus the device identifier from the device. The authenticating device compares the hashes and authenticates the device if the hashes match. To transmit the hash, the BACnet MS / TP frame format includes an extended header cyclic redundancy check (CRC) field having bytes reallocated from the data field of the frame format. Another countermeasure utilizes a physical unclonable function (PUF) of the device in the extended header CRC.

An encryption unit (403) that an encryption apparatus (400) includes, when a user secret key SKΓ is generated using a secret key MSK of attribute based encryption and a set of attributes Γ corresponding to a decryption-possible condition L, generates a key K and a ciphertext P corresponding to the key K by encrypting the decryption-possible condition L using, as an encryption key of the attribute based encryption, a key PK consisting of a public key MPK corresponding to the secret key MSK and a public key PQCPK of post quantum cryptography, regards a part of the ciphertext P where the decryption-possible condition L is encrypted based on a secret value as P-D, regards a part of the ciphertext P where the secret value that is shared is encrypted as P-SS, and generates K′ and P′-D by randomizing each of the key K and the P-D using a random number R, and generates a ciphertext C by encrypting data consisting of the P-D and the random number R using the public key PQCPK. Here, the P-SS, the P′-D, and the K′ are decryption-possible verification parameters corresponding to the user secret key SKΓ.

The invention discloses a thermal printing control method and a micro-processing chip, and the thermal printing control method comprises the steps: responding to a printing request, generating a heating array, and enabling the heating array to store a default heating time sequence of a to-be-printed line; performing random sorting algorithm processing on the heating array to obtain a random array; and the pixel points generate an actual heating time sequence according to the random number group. The problems of overlarge instantaneous current and local overheating caused by simultaneous heating of multiple pixel points in the thermal printing process are solved.

Provided is a method for measuring a DAC nonlinearity error based on a pseudo-random sequence. The method includes: numbering pseudo-random number values in a pseudo-random sequence to generate a serial number sequence; arranging the pseudo-random number values in the serial number sequence in a descending or ascending order to determine an order random array; sending the pseudo-random number values, as DAC code values, in the order random array to the DAC sequentially; determining a first differential voltage array and a second differential voltage array according to a voltage corresponding to the DAC code values and the DAC code values; and determining a nonlinearity error measurement result of the DAC according to a differential nonlinearity error test result of the DAC and an integral nonlinearity error test result of the DAC determined by the first differential voltage array and the second differential voltage array.

The present invention relates to a multi-resistance magnetic device and its preparation method and application, and the free layer of the magnetic device is specially processed: (1) the free layer is grown in a splicing manner, the splicing part is composed of different ferromagnetic materials, and the above-mentioned magnetic device is arranged at the splicing position; (2) the free layer is composed of a single ferromagnetic material, but impurities are uniformly added on the surface of the free layer and away from the barrier layer or the space layer, and the impurities are used to make the magnetic domains of the free layer autonomously divided. The two processing methods can realize the multi-resistance state characteristics of the device, which means that one device can store more than one bit of information, and multiple devices can realize more random number combinations. The present invention can be controlled by all electrical means, and has the advantages of multiple resistance values, randomness, strong scalability, low energy consumption, and compatibility with CMOS processes. It only needs to be slightly improved on the basis of the existing device preparation process, effectively reducing the manufacturing cost of devices, arrays and chips composed of them.

Bandwidth-controlled, private, multi-party joint data processing is described. When performing an nth iteration of joint data processing on service data, multiple participants separately determine a same nth identifier at the current iteration and includes sub-identifiers separately corresponding to service data of the multiple participants. The multiple participants are enabled to separately determine their respective random arrays in a predetermined trusted interaction manner and based on the nth identifier and initial seeds of the multiple participants. When a first sub-identifier exists in a correspondence between sub-identifiers and confidential data, the multiple participants separately obtain first confidential data corresponding to the first sub-identifier and perform the current iteration of joint data processing with another participant using secure multi-party computation (MPC) based on exchange of other confidential data and respective first confidential data. The first confidential data is obtained by fusing first service data and a corresponding first random number.

The present invention provides an MRAM storage array temperature self-detection method, a storage control method, and a system, belonging to the field of memory. The method comprises: allocating corresponding write error detection area addresses and read error detection area addresses to a first storage array partition; generating multiple random arrays, performing a read / write operation on each of the multiple random arrays in the first storage array corresponding to the write error detection area address, and obtaining a write error rate measurement value of the first storage array; generating a fixed array, writing the fixed array into a second storage array corresponding to the read error detection area address, performing multiple read operations, and obtaining a read error rate measurement value of the second storage array; and determining the current temperature range of the first storage array partition to which the first storage array and the second storage array belong based on a write error rate base value, a read error rate base value, a write error rate measurement value, and a read error rate measurement value.

The embodiments of the present specification provide an anonymous identity authentication method and device. According to the method, a first device generates a binary indication vector and an auxiliary vector having a predetermined relationship with the indication vector according to the sequence index of a first account in a target account set; and generates a signature value C according to the indication vector, the auxiliary vector and a private key of the first account. A first public key vector is also calculated according to a first random number selected by a verification device and a public key sequence of the target account set, and a blinding value is calculated based on the first public key vector and a random number array selected by the first device. The first device further generates a first and second group of commitment values according to the indication vector, the auxiliary vector and a challenge array and a variable value selected by the verification device. The first device provides the signature value C, the blinding value and the first and second group of commitment values to the verification device, and the verification device verifies whether the first account belongs to the target account set according to the foregoing.

The invention provides a multi-component solution construction method and system, electronic equipment and a storage medium. The method comprises the following steps: generating a random array consisting of 0 and 1; a solid mask plate is manufactured according to the random array, and a micropore is formed in the position of 1; spraying and sample adding are carried out, and aerosol penetrates through the mask plate to settle into a bearing pore plate; and controlling and recording the types of the mask plate and the solution, and outputting a plurality of random combinations. According to the algorithm, a large number of random schemes are automatically generated according to the program, so that the labor intensity is reduced. And the high-throughput programmable rapid construction of the random composite reagent or cell combination is realized. A large number of clear and random reagent combination results can be obtained, analysis of reaction or interaction under different combinations is facilitated, and the efficiency and accuracy of experiments can be improved. According to the method, not only can complete random combination be carried out, but also screening and design of specific combinations can be carried out according to experimental requirements, and the flexibility and diversity of experimental design are provided.

The embodiment of the invention provides an interface authentication method and system based on a large model. According to the method, user key information including a user identity, a key pair, a salt value, failure time and key state information is newly established through a private key management module and is stored in a database, so that the user key information is conveniently managed; the client side assembles the request parameter based on the to-be-processed service data, the timestamp and the random number ID and generates the token by using the private key signature, so that the security is further improved; when an interface is called, replay attacks can be prevented through timestamp verification, repeated requests can be avoided through random number ID verification, use of invalid or expired secret keys can be eradicated through secret key state and invalid time verification, data can be verified not to be tampered in combination with signature verification, and all-around safety protection is formed through the multiple verification mechanisms. The whole process from key generation, request construction to interface calling verification is controlled layer by layer, risks of illegal access, data tampering and leakage and the like can be effectively resisted, and the security of the interface can be improved.

The invention provides a multichannel MEMS microphone random array and a use method thereof. The multichannel MEMS microphone random array comprises an array board, a control board and a board-to-board connector. According to the array board, 64 MEMS microphones form a random array, every four microphones are connected with one Codec chip, every four Codec chips form a data line, and four data lines are obtained. The control panel generates a total position clock signal and transmits the total position clock signal to the array board through the connector, the total position clock signal is converted into four clocks on the array board, the four clocks are connected with corresponding data lines in a daisy chain mode, and effective connection and operation of the system are achieved. According to the scheme, the BCLK of the digital MEMS microphone is synchronized in a BCLK daisy chain routing and multiple Codec chip TDM cascading mode, and data transmission and control are realized in combination with the board-to-board connector and related modules, so that the PCB wiring difficulty and the system complexity and cost of a large microphone array are reduced, and the sampling synchronism of the microphone is ensured.

The invention discloses an image recognition method based on a hybrid resistive array and electronic equipment, and relates to the technical field of integrated circuits and memory computing. An excitation and suppression coexisting nerve processing mechanism in a biological vision system is simulated, when a voltage signal converted from an image to be recognized is applied, the resistive array can process image information in situ in parallel, the first type of resistive devices generate excitability response to forward voltage, and the second type of resistive devices generate excitation response to reverse voltage. And the second type of device generates an inhibitory response to a negative voltage, so that the contrast ratio and the boundary definition of image features are greatly enhanced, and high-specificity output current response can be generated. The problem of insufficient image recognition precision caused by lack of an inhibitory mechanism is solved, and high-accuracy image recognition is realized.