50 results about "Random order" patented technology

The embodiment of the invention relates to the technical field of communication, in particular to a beam report reporting method and a communication device, which can report beam reports associated with a plurality of events based on a priority rule, not only can avoid the problems of uplink resource competition and signaling conflict caused by simultaneous reporting, but also can improve the user experience. And the problem that the processing of the key event is delayed due to reporting according to a random sequence can also be avoided. The method comprises the following steps: detecting that a plurality of events are triggered, and reporting beam reports associated with the plurality of events according to a priority rule; wherein the priority rule is related to at least one of the following: the type of the triggered event; the triggered event corresponds to the type of the cell.

The invention discloses an asynchronous parallel processing method and system for address correlation in a superscalar processor, after an instruction data packet enters a transmitting unit, instructions are sent to a corresponding transmitting queue according to the type of each instruction, the transmitting queue requests to transmit the instructions in a polling mode, and when the selected instruction meets a transmitting condition, the selected instruction is transmitted; in one round of instructions, the Load instructions are grouped by taking the Store instructions as boundaries, and the Load instructions in the groups are executed out of order; after the memory access instruction enters the memory access stage, when the Store instruction is executed, the Store instruction is temporarily stored in the buffer table, when the Load instruction is executed, whether address correlation exists between the current Load instruction and the Store instruction in the buffer table or not is detected, if the address correlation does not exist, the internal access number is accessed, and if the address correlation exists, the number is fetched from the buffer table. On the basis of the design of the asynchronous circuit, a memory access instruction part out-of-order execution and memory access instruction address correlation processing mechanism is introduced, the memory access instruction throughput efficiency of the superscalar processor is improved, and the instruction execution speed and processing efficiency are improved.

The invention discloses a scientific research thought generation method based on multiple agents, and belongs to the technical field of agent application. The invention aims to solve the problems that the existing multi-agent scientific research cannot simulate the random sequence of scientific discussion and does not reflect the diversity of the agents. Comprising the steps that each scientist generates a scientific research theme according to theme prompt words, and a leader determines a final scientific research theme; under the scientific research theme, each scientist generates an initial thought according to a knowledge base of the scientist and a first prompt word, and other scientists modify the initial thought according to a second prompt word to obtain a modified thought; the leader summarizes all the revised ideas to obtain revising suggestions, the revising suggestions are returned to the initial scientists for reflection, and the final idea of each scientist is obtained; and the innovation of the final idea of each scientist is checked to determine the final scientific research idea. The method is used for automatically generating scientific research ideas.

The invention discloses an anti-multi-attack medical image robust watermarking method based on a Mama architecture, which comprises the following steps: an original medical image and watermark information are processed through an encoder network to generate a watermark-containing image, and an encoder comprises a hierarchical feature refined sampler module and a channel perception Mama architecture bottleneck layer; a watermark is recovered from a watermark-containing image which may be attacked through a decoder network, and a decoder carries out dual-path processing through a wavelet domain Mama module and a sequence context dependence module; randomly extracting 2-4 attacks from the attack library to apply dynamic composite attacks to the watermark-containing image in a random sequence and intensity; and performing end-to-end optimization through a composite loss function including reconstruction loss, clean decoding loss, robust decoding loss and perception loss. According to the method, the image frequency band is decoupled through discrete wavelet transform, meanwhile, the watermark is embedded at the high frequency, the long-range dependency relationship of the wavelet coefficient is modeled by using the selective state space mechanism of Mamba, and the robustness of the watermark is improved.

The invention provides a data encryption method of a storage device, a data transmission method and an electronic device, and belongs to the technical field of storage. The data encryption method of the storage equipment comprises the following steps: determining the row number and the column number of a key matrix according to the specification of a key stored in a hardware register in the storage equipment, and taking a unit matrix with the determined row number and the determined column number as an initial key matrix; arranging a plurality of digits out of order to form an interchange array, and limiting the column number position of an element I in the initial key matrix by the digits in the interchange array to form an intermediate key matrix; performing multiplied elementary row transformation on each row of the intermediate key matrix to obtain a target key matrix, and obtaining a target decryption matrix corresponding to the target key matrix; and encrypting plaintext data by using the target key matrix to form a ciphertext matrix. By means of the data encryption method of the storage device, a concise and safe data encryption method can be provided for a user.

Aspects of the present disclosure relate to systems and methods for generating and providing training instructions. Specifically, aspects of the present disclosure relate to a network service that dynamically generates training instructions The network service can generate the training instructions based on a set of inputs generated from each computing device, employees' profile information, dynamically changed working environments, and / or sensor data received from a plurality of sensors deployed at the workspace. The network service can provide potential answers, having a data range to score each answer provided by the employees. The network service can also generate the training instructions sequentially or in random order. In addition, these training instructions can be provided once or recurrently. The network service can also utilize machine learning model to automatically generate the training instructions. The network service can also score each employee's answers and store them as a portion of the employee's profile.

The invention provides a multi-scale dense connection super-resolution reconstruction method based on random degradation. The method mainly comprises a multiple random degradation model and an image super-resolution reconstruction network. The multiple random degradation model carries out parameter random and sequence random degradation operations on high-resolution images for multiple times, and then low-resolution images are obtained to form a training data set. The image super-resolution reconstruction network is composed of a shallow feature extraction module, a multi-scale feature extraction module, a deep feature extraction module and an up-sampling module, and training is carried out by using a data set obtained through preprocessing of multiple random degradation models, so that the reconstruction performance of the network in a real scene is improved. Meanwhile, a discriminator is introduced to optimize the model in adversarial learning. According to the method, the reconstruction effect of an image super-resolution reconstruction algorithm in a real scene is improved, and the method has good practical value.

The invention discloses a tamper-proof MCU security data writing method and system, and relates to the technical field of data security, and the method comprises the steps: determining a to-be-upgraded MCU, obtaining an associated upgrade data packet, calculating an initial hash value retention, generating a random byte fragment according to a data size, and obtaining a plaintext upgrade data packet fragment sequence; secondly, randomly sorting from the anti-quantum encryption algorithm candidate pool to determine an encryption algorithm set sequence, generating a plaintext encryption algorithm mapping table, encrypting the plaintext encryption algorithm mapping table, and synchronously issuing the plaintext encryption algorithm mapping table along with a ciphertext upgrading data packet fragment; after the to-be-upgraded MCU obtains the related ciphertext, decryption is carried out to determine an encryption algorithm index, ciphertext fragments are decrypted, a hash value is calculated in a combined mode, and upgrading or rollback operation is determined; the MCU is monitored in real time in the process, all keys are cleared after the process is finished, data tampering is effectively prevented, and it is ensured that MCU upgrading is safe and reliable.

Aspects of the present disclosure relate to systems and methods for generating and providing training instructions. Specifically, aspects of the present disclosure relate to a network service that dynamically generates training instructions. The network service can generate the training instructions based on a set of inputs generated from each computing device, employees' profile information, dynamically changed working environments, and / or sensor data received from a plurality of sensors deployed at the workspace. The network service can provide potential answers, having a data range to score each answer provided by the employees. The network service can also generate the training instructions sequentially or in random order. In addition, these training instructions can be provided once or recurrently. The network service can also utilize machine learning model to automatically generate the training instructions. The network service can also score each employee's answers and store them as a portion of the employee's profile.

Various techniques are provided to implement information leakage mitigation associated with elliptic curve operations. In one example, a method includes generating second data based on first data. The first data is associated with a message. The second data is associated with a decoy message. The method further includes performing a first elliptic curve operation based on the first data. The method further includes performing a second elliptic curve operation based on the second data. The first elliptic curve operation and the second elliptic curve operation are performed in a random order. Related systems and devices are provided.

This invention relates to the field of chip verification technology, and more particularly to a random verification method, electronic device, and medium based on register arrays. S1: Set m=1, execute S2; S2: Send data to RA in the target register array. m and RB m Input the same random test stimulus; S3, RA m Predict the random write value, and set F m Updated to RA m Predicted random write values; S4, RB m Write random numbers based on the input random test stimulus; S5, read the currently stored data in the RTL instances of all registers in the chip under test design in random order and compare it with the corresponding reference value. If they are all the same, proceed to S6; otherwise, the verification fails and the process ends; S6, compare m and M. If m

The application provides a read cache optimization method and device in an AI model training scene, comprising: during AI model training, setting each Epoch reading training set data process as two rounds of iterations; in the first round of iteration, each Mini-Batch queries S*N items of data to the cache in random order; S items of data are read from the data in the cache after the query for the current Mini-Batch, and the remaining data is marked; after all the training set data is traversed once, the first round of iteration ends, the second round of iteration starts, and the marked data in the first round of iteration is traversed; each Mini-Batch queries S items of data to the cache, the data is directly read in the cache, or the data is read from a remote storage node. The application improves the read cache hit rate when loading the training set, thereby reducing the time delay of reading data, improving the utilization rate of GPU and other scarce computing power devices, saving computing power, and improving the model training efficiency.

This invention discloses a robust watermarking method for medical images based on the Mamba architecture, resistant to multiple attacks. The method includes: generating a watermarked image by processing the original medical image and watermark information through an encoder network, where the encoder includes a hierarchical feature refinement sampler module and a channel-aware Mamba architecture bottleneck layer; recovering the watermark from the potentially attacked watermarked image through a decoder network, where the decoder includes a wavelet domain Mamba module and a sequence context dependency module for dual-path processing; randomly selecting 2-4 attacks from an attack library and applying them to the watermarked image in a random order and intensity using dynamic composite attacks; and end-to-end optimization using a composite loss function containing reconstruction loss, clean decoding loss, robust decoding loss, and perceptual loss. This invention decouples the image frequency band through discrete wavelet transform, embeds the watermark at high frequencies, and utilizes Mamba's selective state-space mechanism to model the long-range dependencies of wavelet coefficients, thereby improving the robustness of the watermark.

The present invention discloses a display panel and a display device. The display panel includes: a display area, a fan-out area, and a binding area arranged sequentially along the column direction; the display area includes a central display area and an edge display area arranged along the row direction on at least one side of the central display area; the display area includes multiple data lines arranged along the row direction; the binding area is provided with a driver chip; the data lines arranged sequentially along the direction from the edge display area to the central display area are defined as a sequential arrangement; the fan-out traces connecting the data lines in the edge display area are arranged between the fan-out traces connecting the data lines in the central display area, so that the data signals on the sequentially arranged fan-out traces are arranged in a random order; the driver chip includes a sequence adjustment module for forming a random data signal queue that matches the random order of the data signals on the fan-out traces, so that the driver chip provides the randomized data signals to the fan-out traces. The present invention can achieve a narrow-frame design for the display panel.

Systems and methods for a system architecture for supporting bifurcated data transmission are provided. The system architecture may include a point-of-sale (“POS”) device. The system architecture may include a central server. The POS device may break up a transaction request received from a requestor into micro-data. Each micro-data may include a tiny portion of the transaction request and a header. The header may identify the transaction request and a number that identifies a location of the micro-data within the transaction request. The POS device may send the micro-data to a quantum processor for arranging the micro-data in a queue in a random order. The POS device may also compile a confirmatory data packet including data identifying the point-of-sale device and a total number of the micro-data. The confirmatory data packet and the micro-data, in the random order, may be transmitted to the central server.

The present invention provides a data encryption method, a data transmission method, and an electronic device for a storage device, belonging to the field of storage technology. The data encryption method for the storage device includes the following steps: determining the number of rows and columns of a key matrix based on the specifications of the hardware register storing the key in the storage device, and using a unit matrix with the determined number of rows and columns as the initial key matrix; arranging multiple numbers in random order to form an interchange array, and using the numbers in the interchange array to define the column position of element one in the initial key matrix to form an intermediate key matrix; performing a doubling elementary row transformation on each row of the intermediate key matrix to obtain a target key matrix, and obtaining a target decryption matrix corresponding to the target key matrix; and encrypting plaintext data using the target key matrix to form a ciphertext matrix. The data encryption method for a storage device provided by the present invention can provide users with a simple and secure data encryption method.

A sample randomizer allows a user to have a set of samples from a corresponding set of sources to be physically randomized so that the user does not know which sample came from which source. The sample randomizer keeps track of the samples so that the source of each sample can be revealed after testing the samples. A covered rotating table is used to physically randomize the samples. Each sample is individually loaded into the table in a given sample position. The other sample positions are obscured from view so that the user cannot see if there is a sample in the adjacent sample positions. The order of the sample and their corresponding sources are tracked, and the samples are dispensed from the table in a random order that is also tracked. The user can then test the samples, placing them in ranking positions of a ranking station of the device. When the user is done testing the samples, the sample randomizer can then indicate the source of each sample at each ranking position.

The invention discloses a nonvolatile memory and a control method thereof. The memory comprises a nonvolatile memory, a random number generator, a power supply and a memory access controller. The nonvolatile memory is used for storing at least one piece of data. The random number generator is used for generating a random number. The power supply is used for generating a random power supply according to the random number and providing the random power supply to the nonvolatile memory. The memory access controller is configured to generate a random order according to the random number, obtain random order data from the non-volatile memory according to the random order, and reconstruct the random order data according to the random order to generate at least one datum.

The invention discloses a physical layer key generation method based on adaptive non-uniform segmentation and tree sequence matching, and relates to the field of wireless communication security. According to the method provided by the invention, through the steps of channel detection, difference-enhanced adaptive segmentation generation, abnormal segmentation discrimination and calibration, random segmentation rearrangement, dynamic path sensing, tree sequence matched key generation and the like, the accuracy and efficiency of physical layer key generation are improved. According to the method, the distance between the channel sample segments is maximized by means of the dynamic time warping measurement, so that the difference between the segments is remarkably improved, and the accuracy of segment matching is improved; the abnormal segments are further calibrated in a random replacement mode, and the difference between the segments is increased, so that the accuracy of segment matching is improved; in addition, the random sequence of the segments is reconstructed through segment matching, a tree structure is constructed according to the segments, and the key is generated through layer sequence matching, so that the accuracy and the generation rate of physical layer key generation are effectively improved.

A method is provided for detecting a fault attack when performing a process including a plurality of operations. The method comprises identifying a group of operations selected from the plurality of operations and performing operations from the group of operations in a random order such that each operation is repeated n times where n is less than or equal to a security parameter corresponding to a maximum number of potential fault attacks. The results of the n repetitions of each operation are compared to determine whether the output value of each repetition of the operation is the same. In a case that the output value of each repetition is not the same an action to record or mitigate a fault attack is performed.

In some embodiments, a system includes a processor and a non-transitory computer readable medium coupled to the processor. In some embodiments, the non-transitory computer readable medium includes code that generates a randomized set of keys for authentication purposes, communicates to a reconfigurable braille (RB) board to render raised RB board keys on the RB board according to a randomized order of the randomized set of keys, and utilizes the raised RB board keys to ascertain an authentication code that is utilized to authenticate a user of a mobile device. In some embodiments, the non-transitory computer readable medium further includes code that maps each key in the randomized set of keys to an authentication character in an authentication code.

In some embodiments, a system includes a processor and a non-transitory computer readable medium coupled to the processor. In some embodiments, the non-transitory computer readable medium includes code that generates a randomized set of keys for authentication purposes, communicates to a reconfigurable braille (RB) board to render raised RB board keys on the RB board according to a randomized order of the randomized set of keys, and utilizes the raised RB board keys to ascertain an authentication code that is utilized to authenticate a user of a mobile device. In some embodiments, the non-transitory computer readable medium further includes code that maps each key in the randomized set of keys to an authentication character in an authentication code.

The invention provides a reentrant complex manufacturing system simulation evaluation method, and relates to the field of manufacturing system simulation. According to the method, the complexity characteristic of a manufacturing system is fully considered, including reentrancy, order random arrival, order splitting and machine type mixing, and the applicability of the simulation method is improved. According to the method, multiple operation priority value calculation rules are provided for two key links of operation release and operation dispatch, a combined strategy is designed by adopting a predicted influence function and constraint planning, the operation property and workshop state influence are comprehensively considered, the number of working products of a manufacturing system is effectively controlled, and meanwhile, the working efficiency of the manufacturing system is improved. And the order on-time delivery rate of an enterprise is improved. A plurality of performance test targets adopted by the invention can effectively describe the state of the production system and measure the effectiveness of the strategy provided by the invention. In a word, the simulation method provided by the invention can assist an enterprise administrator in evaluating the rationality of the production plan on the premise of not changing the actual production state, so that the decision-making cost is reduced.

A computer-implemented method, system, and computer program product are disclosed. According to embodiments, training data can be received, the training data can include speech and pairs of meaning representations associated with the speech as ground truth data. The meaning representations include at least semantic entities associated with the speech, where an order of utterance of the semantic entities is unknown. The semantic entities of the meaning representations in the training data can be reordered into an order of utterance of the associated speech using an alignment technique. A spoken language understanding machine learning model can be trained using the pairs of speech and pairs of meaning representations with the reordered semantic entities. The meaning representations in the received training data can be perturbed, e.g., the semantic entities, to create a random order sequence variant of the semantic entities associated with the speech. The perturbed meaning representations together with the associated speech can augment the training data.

The embodiment of the application relates to the technical field of communication, in particular to a beam report reporting method and a communication device, which can report beam reports associated with multiple events based on priority rules, not only can avoid the problems of uplink resource competition and signaling conflict caused by simultaneous reporting, but also can avoid the problem that the processing of key events is delayed caused by reporting in random order. The method comprises the following steps: detecting that multiple events are triggered, and reporting beam reports associated with the multiple events according to priority rules; wherein the priority rules are related to at least one of the following: the type of the triggered events; the type of the cells corresponding to the triggered events.

The present disclosure relates to a kind of identification code generation method, device, server and storage medium, involve computer technical field.The method comprises: receiving the identification code generation request of user account;Based on the set self-increment variable, generate the first numerical sequence identification code corresponding to identification code generation request;First numerical sequence is randomly ordered to generate second numerical sequence;Second numerical sequence is compressed in length to generate the target identification code corresponding to identification code generation request.The present disclosure guarantees the uniqueness of the identification code corresponding to different identification code generation request, ensures that the target identification code to be generated finally has no fixed rule, has random order and confidentiality, and reduces the length of the identification code to be generated finally, makes it beneficial to be shown on user terminal, improves user experience.Each step of the present disclosure is completed separately, without using additional storage space, time complexity and space complexity are lower, with high efficiency.

The present invention is applicable to the technical field of data encryption, and provides an encryption communication method and device based on a microcomputer. The encryption communication method based on the microcomputer includes: obtaining data to be encrypted, and performing segmentation processing based on the current data length of the data to be encrypted to obtain a plurality of ordered data blocks to be encrypted; performing segmentation processing at the Nth character position of each data block to be encrypted to obtain a first sub-data block and a second sub-data block corresponding to each data block to be encrypted; randomly combining a plurality of first data blocks and a plurality of second data blocks to obtain a plurality of target encrypted data; and sequentially sending the plurality of target encrypted data to a target microcomputer in a random order. Through the innovative encryption data segmentation and random combination methods, this technical solution not only effectively improves the security and transmission efficiency of encrypted communication, but also greatly reduces the dependence on hardware resources and computing power.

The invention relates to the technical field of big data analysis, in particular to a self-learning intelligent order dispatching method based on cloud big data, and the method comprises the steps: obtaining historical clue data and the clue number of the current month; determining an order sending mode for the clues based on a comparison result of a ratio of the number of clues in the current month to the historical monthly average number of clues in the same period and a preset ratio, wherein the order sending mode comprises random order sending, basic completion duration determined based on a target closeness degree characterization value, order sending based on the determined basic completion duration, and scheduling resource order sending; when it is judged that scheduling resource order dispatching is carried out, a constraint mode is determined based on the historical order completion condition of scheduling resources, and constraint types comprise process node constraints and completion timeliness constraints; according to the method and the system, intelligent order dispatching is realized by improving the accuracy of analyzing the number of the tasks and the closeness degree of the target and the order dispatching platform, so that the task processing efficiency is improved.

The application discloses a virtual digital outbound intelligent customer service system based on generative AI, and relates to the technical field of virtual customer service management.The application solves the technical problems of lack of effective monitoring mechanism for service quality and single encryption processing mode for interactive data.The application monitors the overall state of the intelligent customer service in real time through the calculation of multi-dimensional indexes such as the knowledge anchor point answer rate, semantic ambiguity answer proportion and high-frequency complaint problem correlation rate, so as to facilitate the targeted optimization of the knowledge base, answer template or service process by the management personnel, improve the user service experience and system reliability, generate random modification features for the data packet byte size, dynamically bundle data packets and send them in random order, introduce a random delay transmission strategy, effectively interfere with the analysis of the traffic characteristics by attackers, prevent data eavesdropping and content tampering, and guarantee the safety and privacy of the user interactive information in the transmission process.

The application discloses a hydrological simulation result fine-grained interpolation prediction method based on a graph neural network, relates to the technical field of hydrological simulation, and comprises the following steps: S1, a simulation network data carrier is constructed through a data table; S2, open source data obtained is calculated item by item, column data is added, and a static data table is output; S3, based on the static data table, dynamic simulation results are obtained through modeling simulation; S4, the data table is converted into a graph structure network data set composed of node and edge relationship information; S5, an order division experiment and a random order division experiment are designed, and a training data division mode used is determined; S6, a graph neural network model is constructed and trained; S7, rolling prediction is performed; and S8, the constructed graph neural network model is enhanced in a targeted manner. According to the application, fine-grained interpolation prediction of simulation results in the time dimension is performed, the calculation efficiency of hydrological simulation is accelerated, the prediction period of potential risks is shortened, and the agility of emergency feedback of flood season mountain disaster risks is improved.