45 results about "Hamming code" patented technology

The invention relates to a calibration method of a binocular camera and a laser radar based on a hollow ellipse calibrator, and belongs to the field of robot vision. Hamming code graticule marks are respectively arranged at four corners of one side face of a square aluminum plate of the hollow elliptical calibrator in the clockwise direction, an elliptical through hole is formed in the middle of the hollow elliptical calibrator, and the center of the elliptical through hole coincides with the center of the square aluminum plate; and the long axis of the elliptical through hole is positioned in the vertical direction. A hardware system of the calibration method comprises a binocular camera, an upper computer, a 16-line laser radar and a hollow ellipse calibrator. An image processing program, a three-dimensional point cloud processing program and a mathematical calculation program are arranged in the upper computer; the calibration method comprises the following operation steps: (1) carrying out image feature recognition on the hollow ellipse calibrator; (2) carrying out point cloud feature recognition on the hollow ellipse calibrator; (3) calculating external parameters of the camera and the 16-line laser radar; and (4) determining a calibration result. According to the calibration method, the calibration accuracy and robustness are improved, and the calibration method is suitable for practical application.

The invention discloses a fault injection and detection method based on RTL, and relates to the technical field of aerospace fault-tolerant calculation, the fault injection and detection method is compatible with three single-particle fault types of SEU, SET and SEL, the injection bit number, duration and position can be customized by a user, and based on random number file configuration, the problems of single fault type and parameter solidification of an existing tool are solved; a bypass injection mechanism controlled by a timer is adopted, and a fault data flow is switched in a specified clock period, so that a trunk data flow is not influenced, and the occupation of system resources is reduced; a forward detection module is designed based on (13, 8) extended Hamming codes, a receiving end quickly locates the fault type and position through a syndrome look-up table, original data does not need to be transmitted back, and detection delay is effectively controlled; a streamlined design is adopted, check bit generation, fault injection, syndrome generation and fault information output are executed in parallel, and hardware resource overhead is obviously optimized.

The invention discloses a method for optimizing ECC (Error Correction Code) protection strength of an NAND FLASH in-memory computing system for an LLM inference chip, and belongs to the technical field of computing, reckoning or counting. Based on an NAND FLASH in-memory computing architecture, the invention provides a self-adaptive sub-plane protection strategy based on a Hamming code, and an error sensitivity grading model of sign bits, index bits and mantissa bits is established by analyzing BF16 numerical value distribution characteristics of large language model weight data; in combination with a residual connection structure of a Transform decoding layer, inter-layer cosine similarity is calculated to evaluate layer importance; and dynamically adjusting the Hamming code protection granularity by adopting a greedy algorithm, and carrying out iterative optimization according to a simulation error injection result until the model confusion degree and the accuracy meet threshold values. And performing ECC software and hardware collaborative design according to an iteration result of the greedy algorithm to obtain an ECC circuit required to be configured by each plane of the NAND flash memory. According to the method, the circuit area power consumption is remarkably reduced while the model reasoning precision is ensured, the ECC bandwidth requirement is reduced, and the large model reasoning efficiency and reliability are remarkably improved.

The invention discloses an agricultural disease hash retrieval method based on DV stabilization and adaptive feature enhancement, and belongs to the technical field of agricultural disease image retrieval and deep hash, and the method comprises the following steps: 1, obtaining an original disease image as the input of a backbone network; step 2, extracting disease image features by using a backbone network; step 3, based on a self-adaptive feature enhancement module, enhancing the disease image features to obtain self-adaptive image features; step 4, optimizing network parameters through a total loss function containing DV stabilization; step 5, obtaining a binary hash code through the hash layer; and step 6, carrying out Hamming distance sorting on the obtained Hamming codes and the Hamming codes of all the images in the retrieval set obtained by the same method, and returning a plurality of disease images with the Hamming distance smaller than a preset Hamming distance. The agricultural disease image retrieval efficiency and precision are effectively improved.

The invention discloses a multi-agent cooperative tracking control method based on dual-channel event triggering. The method comprises the following steps: constructing a nonlinear multi-agent system mathematical model with uncertain dynamics; defining a tracking error function and constructing an error system by utilizing coordinate transformation; designing a virtual controller of each order by using a backstepping control method; designing a dual-channel event triggering mechanism, actual controller input and an adaptive law; and performing multi-agent cooperative tracking control according to the designed dual-channel event triggering mechanism and the controller. By adopting the control signal updating and parameter updating control strategy based on the dual-channel event triggering mechanism, unnecessary communication and calculation can be reduced, and the effect of remarkably reducing the burden of communication resources and calculation resources is achieved. By adopting an event triggering mechanism and an extended Hamming code redundant coding technical means, the security protection of control signal transmission can be realized, and the technical effects of improving the anti-attack capability of the system and guaranteeing the data integrity in an open network environment are achieved.

The invention discloses an important data error correction method suitable for an aerospace power supply and distribution single machine. According to the method, the Hamming code principle and the binary coding principle are utilized, and the characteristics of a microcontroller of the aerospace power supply and distribution stand-alone are combined, so that an error correction coding and decoding method is designed. According to the method, the single-machine micro-control system can correct a certain degree of data bit flipping errors under the condition that the data bit flipping errors occur under the influence of space environments such as space single particles, errors of important data caused by the space environments are reduced, and then part of autonomous control operations threatening spacecraft safety are prevented from occurring.

The invention discloses a multi-mode starting automatic control method and system based on a PC Farm array server, and relates to the technical field of server cluster management.The method comprises the steps that a central node creates a fine-grained strategy instruction and a corresponding mirror image instruction according to deployment requirements, and the fine-grained strategy instruction and the corresponding mirror image instruction are compressed into a mirror image compressed package through LZMA; the edge node extracts the verification label from the mirror image compressed package, analyzes the verification label through quantum error correction control, repairs a bit flipping error, and generates an anti-interference standardized instruction stream; based on the anti-interference standardized instruction stream, generating a quantum code stream data block through Hamming code coding, writing the quantum code stream data block into a configuration interface address, and correcting signal deviation to trigger a reset command; and executing the reset command, collecting a BIOS startup log, and comparing the BIOS startup log with pre-stored features to generate a startup state verification report. According to the method, accurate calibration and sequential control of hardware configuration are realized, the accuracy of starting parameters is ensured, and the high efficiency and stability of automatic deployment are improved.

This invention relates to the field of semiconductor memory repair technology, specifically a QR code encoding method and system for DRAM chip repair mapping. It includes: determining the total number of blocks and the allowable number of damaged blocks; setting encoding rules containing block status information and verification information; testing the chip under test to identify the location of damaged blocks; generating repair data according to the encoding rules and calculating the check byte using extended Hamming code; converting the encoded information into a QR code and laser-printing it on the chip surface; scanning and reading the code on the production line for verification and error correction, automatically correcting single-bit errors, prompting rescanning for double-bit errors, and writing the data to the storage area; and reading the repair data from the storage area during application, performing verification and error correction again, and executing block mapping. This invention ensures reliable transmission of repair data through a two-stage error correction protection mechanism, significantly improving chip utilization.

The application provides a remote control decoding device based on a Hamming code, comprising: a shift register, configured to convert acquired serial data based on a clock signal; two code table storage units, respectively configured to store preset Hamming code tables; a count comparison module, configured to intercept corresponding comparison bits based on the clock signal; and a comparator, configured to compare the comparison bits intercepted by the count comparison module with comparison bits corresponding to the serial data, and perform decoding based on preset decoding control logic in the case that a comparison result meets a preset condition, and send a decoding result to a preset instruction processing unit. The remote control decoding device based on the Hamming code does not need to occupy more hardware resources in the case that a code distance requirement is met, and has good universality and expansibility.

The present application relates to a method for calibrating binocular camera and laser radar based on a hollowed-out elliptical calibrator, and belongs to the field of robot vision. A square aluminum plate of the hollowed-out elliptical calibrator is provided with Hamming code square grid marks in a clockwise direction on four corners of one side, has an elliptical through hole in the middle, and the center of the elliptical through hole coincides with the center of the square aluminum plate. The long axis of the elliptical through hole is in the vertical direction. The hardware system of the method for calibrating includes a binocular camera, an upper computer, a 16-line laser radar and a hollowed-out elliptical calibrator. The upper computer has an image processing program, a three-dimensional point cloud processing program and a mathematical calculation program. The operation steps of the method for calibrating are as follows: (1) image feature recognition of the hollowed-out elliptical calibrator, (2) point cloud feature recognition of the hollowed-out elliptical calibrator, (3) calculation of the external parameters of the camera and the 16-line laser radar, and (4) determination of the calibration result. The method for calibrating improves the calibration accuracy and robustness, and is suitable for practical application.

This invention details the Error Index Code (EIC) method and circuit designed to correct single-bit errors and detect double-bit errors during data transmission, processing, and storage. The EIC offers a scalable error correction solution with improved performance compared to Hamming code. Its hierarchical and modularized architecture simplifies data signal routing, minimizes latency, and enables predictable timing—providing an ideal ECC solution for high bandwidth applications.

A device includes a data path, a first interface connected to the data path and configured to receive a request from a processor package to write a data value to a memory address, and a controller connected to the data path and configured to receive the request to write the data value to the memory address and to calculate a Hamming code of the data value. The controller is configured to transmit the data value and the Hamming code on the data path. The device includes an external memory interleave connected to the data path. The external memory interleave is configured to receive the data value and calculate a test Hamming code of the data value and to determine whether to send the data value to an external memory interface to be written to the memory address based on a comparison of the Hamming code and the test Hamming code.

The application provides an anti-single event upset processing method for avionics, which comprises the following steps: step one, defining and initializing a configurable hierarchical check data structure; step two, entering a loop task and obtaining to-be-written data; step three, writing the to-be-written data and a correction detection mode into the data structure; and step four, when the data needs to be read, reading to-be-read data from the data structure in groups. Compared with a traditional triple modular redundancy scheme, the application reduces storage occupation by more than 60%, solves the problem of high cost of directly using Hamming code for real-time correction and detection of memory data in an aviation device, and reduces resource consumption of encoding and decoding while having correction and detection capability, thereby meeting high requirements of the aviation device on real-time performance and resource efficiency.

The embodiment of the invention provides a data processing method and device, a storage medium and electronic equipment, and relates to the technical field of computers, and the method comprises the steps that a transmitting end obtains first I2S audio data, carries out the inter-frame splitting of the first I2S audio data, and obtains at least one first I2S data frame; encoding each first I2S data frame by using a Hamming code encoder to obtain an encoded second I2S data frame; the Hamming code encoder is used for encoding 4-bit data code words into 7-bit data code words, and data encoded by the Hamming code encoder is used for supporting error detection and error correction of the data; performing recombination according to the encoded second I2S data frame to obtain second I2S audio data; and sending the second I2S audio data to a receiving end based on an I2S protocol. Therefore, by grouping the frames and adopting (7, 4) Hamming codes for coding, the error correction capability is improved under the condition of increasing the minimum error correction bits, the reliable transmission of the I2S audio data is realized, and the hardware complexity is reduced.

The application discloses a JPEG image multi-carrier steganography method based on a monkey king evolution algorithm, which is used for embedding secret information into images and comprises the following steps: processing N images according to a user input password and an error correction matrix H based on a (7, 4) Hamming code to obtain N carrier images, wherein a matrix of the i-th carrier image is H i ′, i = 1, 2,..., N; converting secret information to be embedded Secret into a binary form, and encrypting to obtain a binary sequence M = (m1, m2,..., m L L is the length of the binary sequence M; taking the minimum difference between a carrier image feature set and a stego image feature set as an objective, using a monkey king evolution algorithm to perform non-uniform dynamic allocation on the load size of each carrier image, and according to the allocation result, cutting and writing the secret information into the corresponding carrier image to obtain a stego image set. The application can solve the problem of efficient allocation of secret information among multiple carrier images, so that the stego image is least detected.

The application discloses a data stream error detection and correction verification method and device, equipment and a storage medium, and the method comprises the following steps: reading the first data stream output after the sending end Hamming code encoding, decoding the first data stream, and obtaining the first information code; obtaining the first check code according to the first information code, performing XOR operation on the first check code and the first original check code in the first data stream, and obtaining the first verification result; Hamming code encoding the second information code to obtain the second data stream, and sending the second data stream to the receiving end; obtaining the second check code after the receiving end decodes the second data stream, performing XOR operation on the second check code and the second original check code in the second data stream, and obtaining the second verification result; and obtaining the verification result of the data stream transmission process error detection and correction based on the first verification result, the first data stream, the second verification result and the second data stream. The verification of the Hamming code SECDED check data stream can be realized, and the data processing speed is high.

A Hamming code encoding and arranging method includes: dividing an original data into N groups of to-be-encoded data and performing Hamming code encoding on the N groups of to-be-encoded data to generate N groups of encoded data; for the N groups of encoded data, extracting p-bit encoded data in each group of encoded data for successive arrangement; when the number of bits remaining in each of the N groups of encoded data is greater than or equal to p, extracting p-bit encoded data in each group of encoded data for successive arrangement; and when there is no data remaining in each of the N groups of encoded data, generating rearranged encoded data according to the arrangement; or when there are q(<p) bits remaining in each group of encoded data, extracting q-bit encoded data in each group of encoded data for successive arrangement to generate rearranged encoded data.

The present invention discloses a fault-tolerant measurement method for quantum Hamming codes, which specifically comprises the following steps: step 1, encoding information bits to be transmitted and generating codewords of the quantum Hamming code; step 2, constructing a sequence for implementing fault-tolerant measurement; step 3, using the fault-tolerant measurement sequence constructed in step 2 to perform auxiliary measurement on each codeword in the quantum bit information of the quantum Hamming code in step 1; if an error occurs, forming an error pattern table according to the measurement results; step 4, correcting the measured errors according to the error pattern table in step 3, and handing the corrected quantum information bits to the next-level quantum device for information transmission and quantum computing. The method constructs a measurement sequence in an error correction process to generate a fault-tolerant measurement sequence, thereby overcoming the problem that internal errors and device errors cannot be processed during the error correction process, resulting in error accumulation and error increase, and improving the fault tolerance and measurement anti-interference capability of the quantum Hamming code.

A method of minimising privacy loss when applying Hamming codes to messages transmitted over a channel. A message, belonging to a message space, is obtained for encoding. The message is then encoded 1604 based on a Hamming code to obtain a codeword belonging to a codeword space. The Hamming code is configured to map adjacent messages of the message space to adjacent codewords of the codeword space. A signal comprising the codeword is subsequently transmitted 1605. The message may be the output of a counting query over a set of data, and the message may have been privatised based on a differential privacy algorithm before the encoding of the message. A corresponding method of decoding 1606 a codeword encoded based on a Hamming code configured to map adjacent messages of the message space to adjacent codewords of the codeword space is also disclosed.

The invention discloses a cloud environment encrypted image retrieval system and method based on a hybrid architecture multi-modal model, a computer readable medium and electronic equipment. The method comprises the following steps: respectively extracting local detail features and global semantic features of an image by using a CNN (Convolutional Neural Network) and a Transform, and dynamically fusing the local detail features and the global semantic features through a cross attention mechanism; meanwhile, extracting semantic features of the associated text; mapping the fused visual features and text features to a unified Hash space, generating binary Hash codes by using progressive quantization, and realizing cross-modal semantic alignment; encrypting the Hash code by adopting a BFV homomorphic encryption algorithm; and the cloud server directly calculates and queries the Hamming distance between the Hamming distance and the Hamming code of the image library in a ciphertext state, and performs sorting retrieval by fusing vision and text similarity. According to the method, multi-scale visual information and text semantics are effectively fused, and high-precision cross-modal image retrieval is realized by using homomorphic encryption on the premise of ensuring data privacy.

The invention relates to the technical field of data transmission, and discloses a hard disk data wireless receiving and real-time transmission method and system, and the system comprises a data extraction module, a preprocessing module, a data partitioning module, a data coding module, a wireless transmission module, and a data decoding module. The data extraction module monitors data changes of the hard disk in real time, original data which are newly generated or need to be transmitted can be extracted in time, and timeliness of data transmission is guaranteed; the preprocessing module uniformly converts original data into a binary format, so that the compatibility of the system to various types of data is enhanced; hamming codes are adopted for data coding, and a verification mechanism of a data transmission packet is combined, so that the accuracy and reliability of data in wireless transmission are effectively guaranteed; the data blocks and the wireless transmission module reasonably plan transmission according to channel bandwidth, so that high-efficiency transmission is ensured, and congestion and data loss are avoided; according to the invention, real-time, accurate and efficient wireless receiving and transmission of hard disk data are realized.

A method of minimising privacy loss when applying Hamming codes to messages transmitted over a channel. A first message, belonging to a message space, is obtained for encoding by an encoder device 310. Information indicative of a first Hamming code is communicated 1602 to a decoder device 320. The first message is then encoded 1604 based on the first Hamming code to obtain a first codeword belonging to a codeword space. The first Hamming code is configured to map adjacent messages of the message space to adjacent codewords of the codeword space. A signal comprising the first codeword is then transmitted 1605. A second message may subsequently be encoded by the encoder device using a second error correction code. The message may be the output of a counting query over a set of data, and the message may have been privatised based on a differential privacy algorithm before the encoding of the message. A corresponding method of decoding 1606 a codeword encoded based on a first Hamming code configured to map adjacent messages of the message space to adjacent codewords of the codeword space is also disclosed.

The application discloses a DNA storage coding method with local GC content balance, which adopts a four-element sequence coding method for original data, and adopts a splicing method to splice a GC content globally balanced code word set for several times, so that a new four-element code satisfies the GC content local balance, so that the four-element DNA sequence composed of A, T, C and G can be more conveniently corresponded, and the base substitution error and the base insertion and deletion error can be respectively corrected by combining a Hamming code and a VT code. Furthermore, the GC content of the DNA coding can be finally ensured to be globally stable at 40% to 60% by selecting the code word satisfying the GC content in the Hamming code, and the DNA segment in each fixed length sliding window satisfies the GC content stable at 30% to 70%.

The invention is applicable to the technical field of ultra-high-speed data transmission, and provides a quantum heuristic error correction method for large-model training multi-card trunking communication, which comprises the following steps: firstly, carrying out Hamming code (7, 4) coding on original data to generate a 7-bit sequence containing check bits; then converting each Hamming code into an orthogonal code with the length of m to form an orthogonal code matrix, then expanding the matrix into a linear entanglement code according to a column priority order for transmission so as to disperse burst errors, calculating the Hamming distance between each data packet and a substrate after a receiving end performs de-entanglement to recover the orthogonal code matrix, and selecting the substrate with the minimum distance for error correction; and inversely mapping back to a Hamming code to extract original data. Therefore, the fault tolerance and the training stability of the system can be improved on the premise of not sacrificing the communication efficiency through the dual coding architecture of the Hamming code and the orthogonal code in combination with the data entanglement recombination technology, and a reliable data link guarantee is provided for distributed large model training.

The application provides an encoding modulation method suitable for a short-distance high-speed optical fiber communication system, which comprises the following steps: step 1, grouping input information bits into a first information sequence u a with a length of k a bits without any operation and a second information sequence u s with a length of k s bits to be shaped; step 2, converting uniformly distributed binary information into a symbol sequence with a target distribution by using a distribution matcher based on an enumeration sphere mapping method, and the symbol sequence after binary labeling is called the shaped information u c ; step 3, taking u c as input information of a forward error correction coding module, and performing twice encoding, first encoding based on a hard decision ladder code, and then encoding based on a soft decision Hamming code. The scheme combines the probability shaping technology based on the enumeration sphere mapping and the forward error correction coding based on the high-speed short-distance optical interconnection, maintains the probability distribution, and avoids the damage of the forward error correction coding to the probability distribution.

An arrangement for providing privacy in a communication network. In the arrangement privacy is applied in two steps, wherein the first part comprises using a Hamming code privatizing data in a network. After applying the Hamming code, it is determined how much additional differential privacy is required for fully privatizing the information. Then the information is fully privatized using a differential privacy method.

An arrangement for providing privacy in a 3G communication network. In the arrangement privacy is applied in two steps, wherein the first part comprises using a Hamming code, ordered such that adjace

The invention relates to a high-reliability dynamic two-stage channel coding method for high-speed underwater acoustic communication, which comprises the following steps of: (1) dynamically selecting a coding mode according to the relationship between the length of data to be transmitted and a preset threshold: if the total bit number D of the data to be transmitted meets the condition that D is less than or equal to B * R1 * Rh, adopting a Hamming code and LDPC cascade coding mode; otherwise, an LDPC coding mode is adopted, the LDPC coding process in the step (4) is directly executed, B is the bit number borne by a single OFDM block, and R1 and Rh are the code rates of the LDPC and the Hamming code respectively; (2) inputting data packets to form independent coding units; (3) Hamming code coding is carried out, and LDPC coding input is generated; (4) carrying out LDPC coding to generate final coded data; and (5) data transmission and decoding.

The application relates to an error correction coding and probability shaping method applied to short-distance optical fiber communication, which comprises the following steps: firstly coding source information based on a hard decision ladder code, and secondly coding the source information after the first coding based on a soft decision Hamming code; dividing the source information after the second coding, and the divided source information will be subjected to probability shaping based on an enumeration sphere mapping or be used for high-order modulation. The beneficial effect of the application is that the technical scheme can adopt a probability shaping technology to adjust the probability of symbol appearance and reduce the average power of a signal. The maximum capacity of a communication channel can be realized by optimizing the probability distribution of a source, the probability shaping technology is a method for improving the information transmission rate by adopting a source distribution other than a uniform distribution under the constraint of limited average power, and the probability shaping technology can guarantee the communication reliability while reducing the transmission power of a transmitter.

The invention provides a square octagonal information encoding and decoding method and system for a commodity outer package, and relates to the technical field of data encoding and information storage. According to the method, a regular octagon is spliced in a square to construct a basic coding unit, the regular octagon is uniformly divided into eight regions, and 8-bit data is represented according to whether independent sub-regions are blackened or not; meanwhile, the four triangular areas at the corners of the square represent 4-bit check bits by judging whether the four triangular areas are blackened or not, Hamming codes (12 and 8) are formed, and check and error correction of data are achieved. The four basic coding units are spliced to form an integral coding structure, and 32-bit information can be completely represented. According to the method, the intuition of geometric figure coding and the error correction capability of Hamming codes are combined, data coding and decoding can be efficiently and reliably completed in the scenes of commodity storage, logistics circulation and the like, and the traceability of commodities and the accuracy of information recognition are greatly improved.