15results about How to "Strong randomness" patented technology

The invention relates to a cold region wetland water quality risk factor screening method, and belongs to the technical field of water ecological water quality screening. Establishing a water quality monitoring data file; the water quality screening calculation comprises the steps of data file selection and identification, seasonal screening calculation, data file establishment, principal component scoring, main factor direct calculation score, non-rotation factor sample direct scoring, variance maximum orthogonal rotation, factor post-rotation scoring, Bartlett inspection, risk factor probability screening and conjecturing of over-standard elements in each month of the next year. The method has the advantages that the problem that risk factors cannot be quantitatively analyzed in a factor analysis method can be solved, and identification and analysis can be independently carried out in different seasons. According to a method for performing factor analysis and probability calculation according to seasons, the water quality risk factors are screened by combining factor analysis scores with probable probabilities.

The invention provides a symmetric key generation method, apparatus and device, a medium and a product, a network device sends a first signal to a wireless sensor according to a target key generation sequence, and the wireless sensor sends a second signal to the network device according to the target key generation sequence, enabling the network equipment to generate a first symmetric key according to the first signal, and enabling the wireless sensor to generate a second symmetric key according to the second signal. The target key generation sequence is a random number sequence and has relatively high randomness, so that the channel change between the wireless sensor and the network equipment is further enhanced, and the randomness of the symmetric key generated by the wireless sensor and the network equipment based on the channel characteristic value is relatively high; therefore, the security performance of data transmitted between the wireless sensor and the network equipment is enhanced, and the security and stability of the whole wireless sensor network are ensured.

The present application relates to the technical field of image generation, and particularly relates to an image generation training method for an AIGC large model, comprising: obtaining standard images by preprocessing collected labeled images, injecting the standard images into an initial model for training to obtain a pre-training diffusion model, inputting random noise into the pre-training diffusion model, and generating initial images by reverse diffusion; optimizing the pre-training diffusion model according to the initial images to obtain an AIGC large model with image generation capability, processing image generation requirements by using the AIGC large model to generate target images; determining whether the number of reverse diffusion sampling steps needs to be increased; determining whether the sampling temperature of the image generation process needs to be increased; and determining the residual connection weight of deep features based on the attack iteration decay rate in the optimization process. The present application improves the generation stability of the target images.

The invention relates to the technical field of wireless communication, and provides a spread spectrum sequence generation method and device, equipment, a medium and a product, and the method comprises the steps: generating a basic sequence, and generating a password sequence or a chaos sequence; performing field extension mapping on the basic sequence to form a base sequence, and performing field extension mapping on the password sequence or the chaos sequence to form a field extension sequence; performing extension field addition operation on the base sequence and the extension field sequence to obtain an extension field addition sequence; and carrying out extension domain transformation on the extension domain addition sequence to obtain a spread spectrum sequence. According to the method, the spread spectrum sequence meeting the requirement can be generated, and the method has good correlation, long periodicity, good randomness and high safety.

A method for planning stair-climbing torque based on multi-pose information fusion first acquires the pose information of the lower limbs when climbing stairs through a pose sensor. Then, based on the pose information of the lower limbs, the motion information of the human lower limbs when climbing stairs is obtained. Next, kinematic calculations are performed on the entire lower limb pose data to obtain the motion information of the human lower limbs, and then the human motion trajectory is obtained. The vertical velocity of the ankle joint is used as the discrimination criterion. When the velocity is greater than a predetermined threshold, an assist phase torque is output and the device outputs torque to follow the human body according to the interactive force data. When the velocity is less than the predetermined threshold, a follow-up phase torque is used and no assist phase torque is output. Finally, the motion controller MCU outputs torque and the knee joint motor executes it. This invention patent utilizes the ankle joint, which has good periodicity and strong noise resistance, to recognize the motion state and improve the stability of state identification. By filtering the human-computer interaction force and the output torque, the accuracy of torque is improved while optimizing the user comfort of the exoskeleton wearer.

The application provides a Doppler positioning method based on frequency hopping spread spectrum, and belongs to the technical field of radio positioning, to solve the problem that the fixed carrier frequency mode adopted by the traditional Doppler positioning technology makes the signal extremely easy to be intercepted, oriented and interfered. The method comprises the following steps: step 1: describing an application scenario; step 2: in the application scenario, a frequency hopping measurement signal is sent by a transmitting end; step 3: in the application scenario, a receiving end performs frequency hopping synchronization and measures a Doppler shift; step 4: a Doppler shift is preprocessed; and step 5: the preprocessed Doppler shift is used to calculate the position of a terminal to be positioned in combination with the relative motion of the transmitting end and the receiving end. The method can obtain the low interception rate and anti-interference ability given by the rapid change of the carrier frequency, and can also use the frequency diversity characteristics of frequency hopping to reduce the positioning performance deterioration caused by the multipath effect, and is suitable for application scenarios with high requirements for robustness, positioning accuracy and other performances.

The application belongs to the technical field of information processing, and particularly relates to a document-level relation extraction method based on a generative model, which comprises the following steps: firstly, in the training stage, a generative model is used to compress and refine the document, and the relation summary of the subject and object in the document is extracted, so that information closely related to the target is screened out; secondly, in the testing stage, a lightweight discriminant module is introduced, and the relation summary output by the generative model is mapped to a predefined relation category; and the generative model has self-adaptive learning ability and can dynamically and autonomously learn human carefully selected examples to generate output closer to human intention.

The present invention relates to the field of in-vehicle network communication technology, and discloses a dynamic stream encryption authentication communication method and system capable of detecting CAN replay attacks. The method comprises: an in-vehicle gateway assigns quantum random numbers to two ECUs that are ready to communicate; each ECU generates associated data based on context information generated by historical CAN data frames on the bus, and updates the encryption state value using the associated data and the key value; the sender ECU encrypts the CAN message plaintext using the updated encryption state value, calculates the corresponding first authentication tag, and then sends the encrypted data and the first authentication tag to the receiver ECU; the receiver ECU decrypts the encrypted data using the updated encryption state value, calculates the second authentication tag and compares it with the first authentication tag, and determines whether to accept the CAN message plaintext based on the comparison result. The present invention can effectively detect CAN replay attacks and improve the security of CAN data encryption.

The present invention discloses a training-free non-invasive variable frequency air conditioner load monitoring method. According to the variable frequency air conditioner power waveform, the load events of the variable frequency air conditioner are divided into three categories: gentle slope type, step type and peak type; the step type and peak type load events are detected and marked by the difference method, and the gentle slope type load events are detected and marked by the curve segmentation linearization method; by serially reorganizing the detected load events, the variable frequency air conditioner gentle slope type load events that are as complete as possible are obtained; according to the specificity of the air conditioner startup power waveform, the variable frequency air conditioner startup event is screened out from the obtained complete gentle slope type load event, and other events matching the variable frequency air conditioner startup event are further searched, and a legal variable frequency air conditioner load event sequence is formed. The method of the present invention is more adaptable to the randomness of the variable frequency air conditioner operating state change, and the overall detection effect is better. At the same time, it takes into account economic practicality and can effectively promote the air conditioning load to actively participate in the power system demand response.

The invention belongs to the technical field of passwords, and particularly relates to an improved RSA information encryption method, which comprises the following steps of: S1, generating a modulus, a public key index and a private key based on an RSA method; s2, splitting the information M into sub-information; s3, encrypting the sub-information through a modulus and a public key index; and S4, decrypting the encrypted sub-information through a private key, and combining the decrypted sub-information into source information M. By adopting the method, the encryption security of the traditional RSA algorithm can be improved.

This invention relates to the field of chaotic system theory and discloses a quantum image encryption algorithm based on chaotic systems and DNA dynamic coding. The algorithm includes a quantum image coding module, a chaotic sequence generation module, a DNA dynamic coding and operation module, and a central control module. The algorithm also integrates a key management unit. By using an enhanced quantum phase representation method to convert classical images into quantum images, and utilizing quantum gate operations controlled by chaotic sequences to achieve quantum scrambling of pixel positions and preliminary diffusion of pixel values, the system can efficiently perform preliminary confusion and perturbation of image information directly at the quantum level, laying a secure preprocessing foundation for subsequent encryption. By using a parallel multi-chaotic system to generate a dynamic key stream and introducing a dynamic perturbation mechanism based on image hash values, the generated key stream has stronger randomness and is dynamically related to the plaintext image content, enhancing its ability to resist security threats.

This invention relates to a horizontal sand mill and its sand milling process for paint production, belonging to the field of grinding equipment technology. It includes a rotating reference barrel, a rotating power system, a sand milling dispersion system, and several adaptive actuating devices. The sand milling dispersion system is installed inside the rotating reference barrel, and the rotating power system drives the sand milling dispersion system. The adaptive actuating devices include an actuating reference ball, an upper sealing plate of the reference ball, a lower sealing plate of the reference ball, an actuating rotating shaft, an actuating rack, and a return spring. The actuating reference ball is installed on the sand milling dispersion system. The actuating reference ball has an actuating space arranged perpendicular to the rotation axis of the sand milling dispersion system. The upper and lower sealing plates of the reference ball are installed at both ends of the actuating space. The two ends of the actuating rack are respectively installed on the upper and lower sealing plates of the reference ball via return springs. The actuating rotating shaft and the actuating rack mesh and drive each other. The end of the actuating rotating shaft is equipped with an actuating plate, achieving sufficient flow of the grinding media and good grinding effect.

The invention relates to a reclaimed water wetland water quality risk factor probability screening method, and belongs to the technical field of water ecological water quality screening. Establishing a screening model calculation file, carrying out Butterfly normal distribution variance homogeneity test, carrying out sequence calculation on parameters of an empirical normal distribution function, carrying out probability calculation by adopting a sequence for calculating the empirical normal distribution function, and screening the probability of the water quality risk factor. The method has the advantages that aiming at the characteristics of large information amount, large information repetition amount, strong randomness and fixed monitoring data position of water quality monitoring data, the occurrence probability and probability and possible occurrence time of various screened water quality indexes are clarified by classifying and analyzing the characteristics of the information and comparing common characteristics. The algorithm model can assist related departments in effectively utilizing monitoring data to master possible occurrence conditions of wetland water quality risk factors, determining possible probabilities and possible occurrence time of various screened water quality indexes, and evaluating possible water quality risks.

The application relates to an LED system bidirectional security verification method and device, computer equipment and a storage medium. The method comprises the following steps: sending a security verification request to a resource module in an LED system; obtaining a response signal returned by the resource module in response to the security verification request, wherein the response signal carries first verification information and an algorithm serial number, the first verification information is obtained by randomly combining a plurality of parameters according to an algorithm, the plurality of parameters comprise at least one resource module parameter and at least one target parameter, and the target parameter is derived from the resource module or a control unit; obtaining pre-stored parameters corresponding to the plurality of parameters according to the first verification information; combining the pre-stored parameters according to an algorithm corresponding to the algorithm serial number to obtain second verification information; and if the first verification information and the second verification information are consistent, the security verification is passed. The method can improve the overall security of the LED system.

The invention provides an electromagnetic power generation and friction nanometer power generation composite wave energy conversion device, and relates to the field of wave energy utilization, the electromagnetic power generation and friction nanometer power generation composite wave energy conversion device comprises an integrated power generation unit, the integrated power generation unit is formed by combining a plurality of power generation units, and each power generation unit comprises a square shell, a friction nanometer power generation part and an electromagnetic power generation part; the metal electrode clings to the inner wall of the square shell; a magnet rotor is arranged in the square shell, and the magnet rotor and a copper electrode in the square shell form a friction nanometer power generation part; a plurality of layers of coils are wound on the outer wall of the square shell, and the magnet rotor and the coils form an electromagnetic power generation part. Wave energy is collected through friction nanometer power generation and electromagnetic power generation, the two power generation modes are matched with each other, the available wave range can be effectively expanded, the conversion efficiency can be improved, the starting condition can be reduced, and therefore the device adapts to actual sea conditions with high randomness and time-varying characteristics.