11results about How to "Guaranteed randomness" patented technology

The invention discloses a multi-cloud data possession proving method, and relates to the field of cloud computing and data security. The method aims at solving the problems that in the multi-cloud storage environment, the data integrity verification efficiency is low, abnormity positioning is difficult, and damaged data is difficult to automatically repair. According to the method, a plurality of storage positions are intelligently distributed for data blocks through a dynamic weight model, and data fingerprints associated with multiple clouds are constructed; during verification, data block risk scores and random selection are fused to generate a challenge set, and each cloud service party calculates local response based on stored data blocks and fingerprints; the verifier aggregates all the responses, compares the responses with an expected value through a consistency verification function, and outputs a comprehensive verification result; if it is judged that the data are not completely held, an exception positioning and repairing mechanism is triggered. According to the method, efficient verification, accurate positioning and autonomous recovery of the integrity of the multi-cloud data are realized, and the reliability and security of cross-cloud storage of the data are remarkably improved.

The invention relates to the field of microbiological examination laboratory equipment, and discloses a drying and disinfecting device and method for a specimen glass slide for microbiological examination. The device comprises a machine shell, a motor and a controller, the detachable rotating shaft is in transmission connection with the driving motor; the support frame is detachably arranged on the detachable rotating shaft and forms a plurality of mounting surfaces; the glass slide mounting plate is detachably mounted on the mounting surface, and a plurality of glass slide mounting stations are arranged on the glass slide mounting plate; the drying module comprises a drying lamp; the disinfection module comprises an ultraviolet disinfection lamp; and the control module is electrically connected with the driving motor, the drying module and the disinfection module and is used for executing a drying program and a disinfection program. The problems that in an existing glass slide processing method, the drying capacity and uniformity are difficult to consider at the same time, the drying process is uncontrollable, and low efficiency and safety risks are caused by separation of the drying process and the disinfection process are effectively solved.

The invention belongs to the technical field of stirrers, and particularly relates to a concentric double-shaft stirrer which comprises a console, a moving frame and a stirring component, the moving frame is arranged at the top of the console, and the stirring component is arranged on the inner wall of the moving frame; the axis stirrer is provided with a hollow connecting shaft, a floating sliding disc, a deflection stirring plate and a compression sleeve. According to the device, mixed liquid in the containing cylinder is synchronously stirred through the axis stirrer in the middle and the stirring rotating arms on the two sides, and the axis stirrer in the middle can control the floating sliding disc to slide up and down under the driving action of the drainage net cover, so that the actual rotating point position of deflection stirring is changed; therefore, when actual stirring work is carried out, a one-way vortex is difficult to form at the central part of liquid, so that the problem that the liquid gathered at the axis part is easy to polymerize to cause insufficient stirring is avoided.

The application provides a smart city-based Internet of Things device encryption transmission method and system, which comprises the following steps: obtaining the unique serial code of the Internet of Things device; performing multiplication with the Internet of Things device serial code, the IP address of the server, the current timestamp and the function related to UUID to generate two prime numbers with a product greater than 1024 bits, and one of the two prime numbers is greater than or equal to twice the other prime number; generating the RSA public key pair and private key pair corresponding to the Internet of Things device according to the obtained two prime numbers and giving the Internet of Things device a unique device ID; when data is transmitted, the Internet of Things device adopts the RSA public key pair to encrypt the plaintext to obtain a first-level ciphertext, and then performs symmetric encryption based on the device ID and the serial code to form a two-section encryption ciphertext; the platform verifies the device ID, performs symmetric decryption on the ciphertext based on the device ID and the serial code to obtain a first-level ciphertext, and adopts the RSA private key pair to decrypt the first-level ciphertext again to obtain the plaintext.

This invention provides a high-precision modeling method for porous metallic materials based on a stochastic algorithm and its application in simulating the electrothermal-mechanical properties of materials. It relates to the field of artificial intelligence algorithm technology. The method includes: reconstructing and optimizing an initial reconstruction model of the porous metallic material based on a stochastic algorithm to obtain a three-dimensional reconstruction model; performing slice analysis on the three-dimensional reconstruction model and determining whether the analysis results meet the accuracy error standard; if they do, outputting the three-dimensional reconstruction model. By reconstructing and optimizing the initial model, the three-dimensional structure of porous materials can be accurately simulated, achieving high-precision modeling of porous metallic materials. Generating and growing pore seeds using a stochastic algorithm ensures the randomness and realism of the model. The setting of the accuracy error standard further improves the reliability of the model, ensuring the accuracy of porosity and pore size. This effectively solves the error problem in the modeling process of porous metallic materials, providing a solid foundation for high-precision simulation and material performance prediction.

This invention relates to the field of product packaging technology and discloses a method for random packaging of equal-quantity products based on virtual workstation mapping, comprising the following steps: S1, generating multiple non-repeating random combination sequences according to the capacity N of the product packaging unit; S2, creating virtual workstations that move synchronously with the physical packaging units in the virtual space of the packaging conveyor line; S3, sequentially setting at least N work areas along the packaging conveyor line, each work area being configured with a robotic arm; configuring a control instruction set for each virtual workstation; S4, each time a virtual workstation passes through a work area, the robotic arm of that work area performs a product gripping and placing operation, placing the product on the fixed physical position of the physical packaging unit corresponding to that coordinate; S5, after a virtual workstation has traversed all work areas, it enters the packaging workstation for sealing. This invention has the beneficial effects of flexible scheduling and more uniform random product distribution.

This invention discloses a key exchange method, apparatus, and storage medium based on a modular lattice. The key exchange method includes: Party A generating a random number seed, obtaining a compressed public key, and sending it to Party B; Party B using the random number seed to obtain the compressed public key; recovering data from the received compressed public key from Party A and calculating a temporary key; processing the temporary key using a segmented signal function to obtain a signal value; using the signal value to coordinate the temporary key to obtain a shared temporary key, thereby generating a verification tag and deriving the final key; Party A recovering data from the received compressed public key from Party B, recalculating the verification tag, and comparing them; only when a match is successful, the final key is derived using the same method. This ensures the randomness of the data and the ability to detect tampering with the data received by Party A, thus achieving higher security. This invention significantly reduces the failure probability while improving security.

The invention discloses a security control method for realizing large model computing power center data gridding, and relates to the technical field of data security, and the method comprises the steps: firstly determining computing power center data, obtaining a sensitivity index, an access frequency and a data size of the computing power center data, generating an optimal total number of blocks, and carrying out the blocking processing of the data, thereby obtaining a data block sequence; analyzing pre-stored physical location hash values and logic partitions of the data blocks, constructing quantized grid coordinates and carrying out gridding storage; meanwhile, the cross-region access frequency is monitored in real time, and a fusing mechanism is triggered to interrupt access if the cross-region access frequency exceeds the limit; and after fusing, adding offset to the quantized grid coordinates of the related data block sequence, regenerating and storing, and clearing the data block at the original storage position to ensure the safe storage and access control of the large model computing power center data.

The invention relates to the technical field of science popularization instruments, in particular to a probability distribution science popularization device which comprises a base, a falling mechanism, an adjusting mechanism, a triggering mechanism, a recycling mechanism, a display mechanism and a control mechanism. A falling mechanism is fixedly mounted on the base; an adjusting mechanism is fixedly mounted in the falling mechanism; a trigger mechanism is fixedly mounted in the base; a recycling mechanism is fixedly installed on the base and located on one side of the falling mechanism. A display mechanism is fixedly mounted on the base; the falling mechanism, the adjusting mechanism, the triggering mechanism, the recycling mechanism and the display mechanism are electrically connected with the control mechanism, and the problems that in an existing probability distribution demonstration device, the occurrence probability of an event cannot be changed, and the occurrence process of other probability events cannot be observed are solved; the occurrence probability of the event can be changed, and the occurrence process of other probability events can be observed.

The invention discloses a sequence password randomness detection method and system based on deep learning, and belongs to the technical field of information security. The method comprises the following steps: transforming input and output of a sequence password to be detected; constructing a data set and dividing the data set into a training data set and a test data set; training the deep learning model by using the training data set to obtain a trained detection model; and detecting the randomness of the sequence password to be detected by using the test data set and the trained detection model. According to the invention, the randomness detection effect of the sequence password can be improved.

This invention discloses a structurally variable coupled chaotic system and its applications, belonging to the field of information security technology. The coupled chaotic system is formed by the coupling of multiple discrete chaotic systems. During system evolution, the coupling structure between different subsystems is dynamically changed in real time by manipulating the coupling matrix. The coupled system exhibits complex dynamic behavior and high nonlinearity, and the dynamic changes in structure cause continuous abrupt changes in the system's dynamics, resulting in non-stationary chaotic sequences. This system is resistant to attacks from statistical analysis, algebraic analysis, and other methods, exhibiting extremely high security. Furthermore, this system is applicable to various chaotic systems and complex chaotic networks of arbitrary scale. It can also generate complex dynamics based on simple discrete chaotic systems. Under the same complexity and security requirements, controlling structural changes results in lower overhead. It can be used to design high-performance chaotic cryptographic systems and as a component in network security applications.