35 results about "Binary encoding" patented technology

This invention discloses a method for porting a digital signal processor (DSP) assembler based on a processor architecture description, comprising the following steps: S1. Based on the processor architecture description, a lexical analysis and syntax analysis part of the assembler is constructed to realize the parsing of special assembly instructions; S2. Taking the parsed instruction data or instruction binary code as input, dynamic encoding and decoding of instructions are implemented according to the instruction definition, thereby realizing the conversion between the object file and the assembly file. This DSP assembler porting method further improves the performance of the assembler and automates the porting process, adapting it to the digital signal processor architecture. It also provides support for single instruction multiple data, very long instruction words, and instruction validity checks. While ensuring that the program execution result meets expectations, it greatly reduces the number of clock cycles required for execution, possesses universality, and meets the needs of rapid processor architecture updates.

The present application relates to the technical field of charging pile management data storage, in particular to an interactive platform information storage method based on data coding. The method comprises the following steps: dividing the operation data of the charging pile in a historical time period to obtain multiple segments of operation data, and performing binary coding on each segment of operation data to obtain an initial coding sequence of each segment of operation data; based on the discrete index corresponding to each segment of operation data and the total number of charging transactions in each segment of operation data, obtaining the number of layers of down-sampling corresponding to the initial coding sequence of each segment of operation data; performing XOR operation and transposition XOR operation on two-by-two coding in the initial coding sequence of each segment of operation data based on the number of layers of down-sampling, obtaining the XOR coding sequence of each layer corresponding thereto, and storing the XOR coding sequence of each layer. The present application improves the security of charging pile operation data storage.

A method and system for controlling pixels of a display using pulse width modulation (PWM). A desired gray scale value for a pixel is processed to generate a binary encoding having a plurality of select bits encoding select values and dither bits encoding dither values, the binary encoding encoded by a scheme in which a first select value and a first dither value indicate a center-aligned pulse having a first width and a leading edge at a first time position, a second select value and the first dither value indicate a center-aligned pulse having a second width and a leading edge at a second time position, and the first select value and a second dither value indicate a center-aligned pulse having the second width and a leading edge at the first time position. The binary encoding is provided to the display for pulse width modulation of the pixel.

The application provides a non-metal pipeline metal marker detection method and device based on an eddy current effect, and relates to the technical field of non-metal pipeline detection. The method installs a metal marker carrying binary code on a pipeline, excites the eddy current effect of the metal marker by applying an alternating magnetic field, and picks up an induced magnetic field signal. The device adopts a double-D-shaped anti-phase series differential eddy current probe combined with a four-stage signal conditioning chain to improve the anti-interference ability and signal quality, and then extracts multi-domain features of the marker in the amplitude, phase and frequency spectrum. By matching the extracted features with a preset database, the device accurately analyzes the binary code and spatial position of the metal marker, thereby uniquely determining the identity information of the pipeline, including the ownership, material, burial depth and direction, etc. The application realizes high-precision positioning, large-capacity identity code and strong anti-interference detection, and effectively solves the problems of weak anti-interference, small code capacity and limited detection depth and precision in the existing non-metal pipeline positioning technology.

The invention relates to the technical field of computers, in particular to an event sequence processing method and device, an event query method and device and electronic equipment. Binary coding is carried out on the event field values corresponding to the event fields respectively, and first coding information corresponding to each event field is obtained; obtaining a plurality of fusion fields corresponding to the target event sequence and second coding information corresponding to the fusion fields based on the plurality of event fields of each target event and the first coding information corresponding to the plurality of event fields; splicing the second coding information respectively corresponding to the plurality of fusion fields to obtain target coding information corresponding to the target event sequence; and splicing the target coding information corresponding to the plurality of target event sequences to obtain event coding information. According to the invention, memory occupation of event data can be saved and data transmission efficiency can be improved.

The application provides an image encryption method and a decryption method. It relates to the technical field of image encryption. The method comprises the following steps: obtaining an image to be encrypted and an initial key; driving a five-dimensional Hamilton conservative hyperchaotic system to iteratively generate a plaintext feedback chaotic sequence and a main chaotic sequence based on the initial key; decomposing the image to be encrypted into multiple bit planes, assigning independent subsequences to each bit plane based on the plaintext feedback chaotic sequence, generating a binary code related to the pixel position of the image to be encrypted, performing diffusion processing on the pixels of each bit plane based on the subsequence and the binary code, combining the diffused bit planes, and obtaining a first diffusion image; generating a first scrambling index and a second scrambling index based on the main chaotic sequence, scrambling the first diffusion image using the first scrambling index, and obtaining a first scrambled image; diffusing the first scrambled image to obtain a second diffusion image; and scrambling the pixel position of the second diffusion image using the second scrambling index to obtain an encrypted image.

This invention discloses a magnetic coding unit material for road area information used in autonomous driving and its preparation method. The magnetic coding unit material is made of asphalt, limestone, magnetic ceramics, and composite mineral powder. The mass of the asphalt is 5.1% of the sum of the masses of the limestone and composite mineral powder, and the mass of the magnetic ceramics is 10%-80% of the sum of the masses of the limestone and magnetic ceramics within the same gradation range. After being magnetized by a magnetizer, the material of this invention, combined with an onboard gaussmeter, can read the binary coding information of the road, achieving comprehensive, rapid, and efficient detection and identification of road area information. It has advantages such as low cost, high reliability, energy saving, and environmental protection, while also possessing good thermal stability, corrosion resistance, mechanical properties, and electromagnetic characteristics.

The utility model belongs to servo motor technical field discloses a kind of encoders of built-in magnet, including hall sensor group, signal processing module, including coaxial magnetic ring assembly and shell, magnetic ring assembly includes coaxial main magnetic ring and coaxial auxiliary magnetic ring;Main magnetic ring includes 64 pairs N / S pole, auxiliary magnetic ring includes 6 pairs N / S pole, and 64 absolute position detection is realized by binary encoding, main magnetic ring and auxiliary magnetic ring outside are covered with magnetic shield, shell front end is equipped with detachable flange, flange includes multiple radial bolt holes, flange is equipped with shaft sleeve interface, elastic bushing for inner diameter adjustment is equipped on the inner cavity wall of shaft sleeve interface, and shaft sleeve interface is equipped with key groove for with servo motor key adaptation, shell is made of aluminium alloy material, the rear end of shell is equipped with several cooling fins.The utility model not only can realize the simple and convenient disassembly of encoder in servo system, but also can realize the resolution of sixty-four circle value, and strong anti-interference.

This invention relates to the fields of information security and hardware encryption technology, specifically to a voltage-frequency nine-state encoding encryption transmission method and device with dual-parameter control. This invention introduces a voltage-frequency to nine-state encoding mapping table as a physical key, converting text information into a nine-ary encoded state sequence. The physical key is then used to map the nine-ary encoded state sequence to voltage-frequency parameters, which are input to the device via a driving circuit to form a current graph. Based on the current graph, the current range-frequency parameters are obtained as the ciphertext to be transmitted, achieving encrypted transmission of the target text information. During decryption, the text information is restored using reverse mapping and encoding conversion rules. This invention directly implements multi-state encoding at the device level, possesses multi-dimensional security protection capabilities, and has low power consumption. It solves the problems of existing encrypted transmission methods, such as reliance on external lasers leading to large size and power consumption, low binary encoding efficiency, and insufficient anti-attack capabilities due to shallow coupling between physical fingerprints and encryption logic.

This invention discloses an optical storage method based on a high-speed recording system using a rotating mirror. The method, implemented using a high-speed recording system, includes: 1. Encoding the data to be stored, including data information and recording coordinates, to obtain a corresponding binary code; 2. Adjusting the binary code to obtain a storage code; 3. Calibrating a high-speed digital output card and determining the recording substrate surface; 4. Generating corresponding light intensity waveform data based on the storage code and storing it in the calibrated high-speed digital output card; 5. Calibrating the optical spherical aberration between the objective lens and the recording substrate surface, and controlling the recording laser to perform recording operations in the y-axis direction; 6. Adjusting the focal length offset of the objective lens and repeating step 5 until all storage codes in the z-axis direction are recorded, obtaining three-dimensional volumetric storage data. This invention also provides an optical storage device. The method provided by this invention solves the problem of excessively long data storage time in the prior art, improving the success rate and accuracy of recording.

The application provides a circular target design and detection method for a multi-task scene, which comprises image preprocessing, candidate contour extraction, affine transformation correction, circle contour identification, circular arc segment identification, center point positioning and encoding decoding; the target is composed of a center circle, a positioning ring and 12 circular arc segments, 12-bit binary codes are constructed through black and white binary circular arc segments, and rotation invariant identification is realized by adopting a minimum decimal numbering rule; in the identification process, high-precision center point positioning is realized through multi-circle contour weighted fusion, and the circular arc segments are screened according to angle and radius variance characteristics; the application introduces a multi-circle center weighted fusion positioning strategy in the center point calculation process of the circular coding mark target by designing multi-circle structure, including a center circle contour, a positioning ring and an encoding ring, so that the error caused by local contour recognition deviation can be effectively offset, and the center point positioning precision of the target is improved.

The invention discloses an optical instrument field angle detection method, and belongs to the technical field of optical detection. The method is realized based on a full-automatic alignment calibration detection system, and an upper computer uniformly regulates and controls an electric regulation bearing table, a coding display screen, an image acquisition module, a displacement sensing module and an automatic focusing lens group; in the detection process, the system automatically completes parallel alignment, center alignment and working distance accurate positioning of a display screen and a detected optical instrument, and realizes automatic focusing of imaging; the coding display screen displays a layered stripe target image with binary coding, and the image acquisition module acquires and images and then reinforces stripe features through self-adaptive preprocessing; the upper computer accurately recognizes the number and spacing of stripes according to the code identifier, and calculates a field angle in combination with a working distance; after multiple times of detection, adopting a Grubbs criterion to eliminate abnormal values, and taking an effective data average value as a final detection result; the whole process is automatic, manual alignment and interpretation errors are eliminated, and the detection precision, repeatability and detection efficiency are improved.

The application provides a medical data feature selection method and device, computer equipment and medium, and belongs to the field of data processing. The method comprises the following steps: obtaining a target medical data set and preprocessing, and constructing an initial population of binary encoding; decoding each individual in the initial population into a feature subset, evaluating the classification accuracy of the feature subset and calculating the fitness value of each individual; iteratively updating the population to search for the optimal feature subset; dynamically adjusting the effective population size according to the current iteration progress; first updating the position of the adjusted population individual; interpolating and fitting the position of the first updated individual to update the position of the individual for the second time; identifying and judging the individual in the population that falls into update stagnation, and applying disturbance to the position of the individual for final position update; outputting the individual with the optimal fitness in the final population, and taking the features corresponding to the bits with the value of 1 in the binary code of the individual as the optimal medical feature subset.

The invention discloses a high-dimensional feature matching method and system for a multi-view image, and belongs to the technical field of computer vision and remote sensing surveying and mapping, and the method comprises the following steps: S1, extracting high-dimensional feature descriptors and feature point coordinates of the multi-view image, and constructing a feature data set; s2, binary coding is carried out on the high-dimensional feature descriptors based on a multi-view feature adaptive Hash method (MFAH), and then an initial multi-view feature trajectory is generated through Hash space fast bit operation; and S3, performing gross error elimination on the initial multi-view feature trajectory, preferably introducing a multi-view local geometric consistency strategy (MLGC), and obtaining an optimized multi-view feature trajectory set. According to the technical scheme, efficient simultaneous matching and lightweight gross error elimination of multi-view high-dimensional features can be achieved, the matching efficiency is remarkably improved while the considerable matching quality is kept, and the method is suitable for multi-view image processing scenes such as large-scale three-dimensional reconstruction and remote sensing image change monitoring.

This invention discloses an image compression method with controllable compression ratio. The image compression method includes: using an image encoding / decoding model to downsample image information to obtain intermediate features, introducing binary encoding to quantize and compress the intermediate features to obtain a compressed file; during decompression, using a decoding model to decode the binary encoding into the original image, realizing a complete image compression and decompression process; during compression, a custom compression ratio or maintaining a specified compression quality is achieved by controlling the bit width of the binary encoding. The method involves dividing the compression task of an image and performing iterative parameter search to meet the image compression requirements for a specified compression ratio or compression accuracy. Furthermore, the variable encoding bits can fully utilize the spatial redundancy in the sub-images, effectively improving the overall image compression ratio.

This invention discloses a method and system for optimizing single-path traffic transmission in complex networks, relating to the fields of network resource scheduling and quantum computing applications. The method includes the following steps: discretizing the maximum transmission traffic of each feasible path into multiple traffic levels and discretizing the bias coefficient into multiple bias coefficient levels; using logarithmic-level qubits to binary encode the feasible path, traffic level, and bias coefficient level respectively, obtaining corresponding multiple encoded variables; fitting the multiple encoded variables to construct a QUBO model with cost minimization and traffic maximization as optimization objectives; inputting the different multiple encoded variables and auxiliary binary variables into the QUBO model, and solving the QUBO model based on a quantum optimization algorithm to obtain the optimal result. This invention meets the requirement of mainstream quantum optimization algorithms that the highest order of decision variables is quadratic, significantly reducing the computational redundancy caused by repeated optimization of multiple parameters in traditional methods.

This invention discloses a vacuum cleaner site identification method based on multi-sensor fusion. The vacuum cleaner is equipped with a sensor module for site identification, including a torque sensor and a photoelectric switch assembly. The vacuum cleaner site identification method includes the following steps: S1, the torque sensor obtains a torque detection result based on the detected torque value, and the photoelectric switch assembly obtains a photoelectric detection result; S2, the vacuum cleaner's MCU performs binary encoding based on the torque detection result and the photoelectric detection result to obtain a sensor code; S3, the vacuum cleaner's MCU reads the sensor code, identifies the vacuum cleaner's working site status, and distinguishes different ground surfaces. Compared with existing technologies, this invention solves the problem that existing vacuum cleaners lack the ability to intelligently sense and identify the working environment, thus failing to adopt cleaning modes that match the cleaning needs and adapt to cleaning tasks in different environments.

The application belongs to the technical field of new energy power generation, and discloses a new energy group intelligent regulation and control method and system based on minimum Hamming distance analysis; the method comprises the following steps: obtaining historical data of a target new energy group, and grouping the historical data; performing binary coding on each group of historical data; obtaining data of the target new energy group at a current time and a power control instruction at a next time; performing binary coding on the data of the target new energy group at the current time, and finding a group where the summarized power is located according to the power control instruction; calculating the Hamming distance between the binary coding of the data of the target new energy group at the current time and the binary coding of the selected historical data, taking the historical data corresponding to the minimum Hamming distance as a control reference, and regulating and controlling the target new energy group according to the control reference. The application can fully utilize historical data, and can quickly control the least group to achieve the purpose of power scheduling adjustment.

The application discloses an efficient Text-to-SQL data screening and fine-tuning method based on a large model evaluation and a genetic algorithm, enhances the complexity of a candidate Text-to-SQL data set, screens out easy and difficult samples of the data set by using large models with different reasoning capabilities, and performs database structure coverage verification; a large language model with reasoning capability is used to obtain a generation track containing a natural language thinking chain reasoning process and a corresponding SQL query result, and the generation track is filtered; multi-dimensional data evaluation is performed on the samples to obtain a quality score; the data set is binary coded, and a fitness function composed of database structure coverage, quality score and data size penalty is used to perform data set optimization based on a genetic algorithm; a large model is trained based on the generation track and the optimized data set; and a Text-to-SQL large model is obtained.

The application provides a binary snake optimization algorithm-based antenna sparse array design method, and belongs to the field of antenna array pattern synthesis. The application is based on a snake optimization algorithm, a probability estimation model is added in the algorithm, a new binary coding snake optimization algorithm is provided, and the new binary coding snake optimization algorithm is applied to a sparse planar array layout optimization problem. The new probability estimation model can better map the slight change caused by the update function in the algorithm to the binary coding, maintain the diversity of the population, enhance the global search ability, and also reserve the exploration and development ability of the original algorithm. The method has the global search ability and fast convergence, and improves the sidelobe suppression ability of the sparse antenna.

The application discloses a kind of test method and device of chip, wherein the method comprises: obtaining the original program package of secure boot system stored on chip;Determine the first byte that needs to be replaced in the binary encoding file of program package based on the trust chain of secure boot system in the process of secure boot, and the first byte in binary encoding file is replaced with second byte, to obtain target program package;Sign the target program package by target private key, to obtain signature data;Signature data and target public key are entered into chip, and the test result of secure boot test is obtained, wherein the test result is used to represent the running condition of secure boot system.The application solves the technical problem that the effectiveness of secure boot system cannot be tested.

The application discloses a quaternary DNA storage method and system based on entropy coding and rotation constraint coding, a storage medium and a terminal. First, compared with traditional binary coding, quaternary coding can improve storage density, thereby storing more data in smaller space. Second, dynamic rotation coding ensures that the DNA sequence meets strict biochemical constraints, including homopolymer length limitation, GC content balance and avoidance of specific harmful sequences, optimizes the synthesis and sequencing process of DNA, and reduces the error rate. In addition, the use of tANS coding provides higher data compression efficiency, further reducing storage costs. These technical innovations not only improve the performance of large-scale data storage, but also enhance the security and accuracy of data decoding, ensuring the integrity of data after long-term storage.

The application discloses a feature optimization method and device in a power data center network intrusion detection environment, and belongs to the field of signal processing. The feature optimization method comprises the following steps: encoding the features to be detected into feature subsets through a binary coding mode; then calculating the guide factors and variation probabilities of each feature and performing corresponding variation operations on the features on each feature subset; subsequently, performing a reverse operation on the corresponding features that need to jump out of a local optimum based on the guide factors of the features and performing a crossover strategy on each feature subset, and selecting a plurality of feature subsets with the maximum fitness as the feature candidate set for the next iteration; and finally selecting the feature subset with the maximum fitness after the iteration is terminated as the target feature subset after the final optimization. The feature optimization method and device in the power data center network intrusion detection environment can improve the speed and accuracy of network intrusion detection, and are suitable for network intrusion detection of a power data center.

The application discloses a kind of miniature full-function portable electronic musical instrument and its performance control method, it is related to electronic musical instrument technical field, it aims at solving the pain point that the number of existing musical instrument key and functional integrity, entry threshold and professional expansibility cannot be considered, and transposition operation is complex.The application adopts split type double-end design, and 3 core note keys are arranged at both ends, 7 natural tone levels and chord level numbers under the first key system are mapped by 3-bit binary coding, the first key mapping module of built-in musical name, singing name and chord level number is independent, transposition without changing fingering under full tonality is realized;Through 360° rocker assembly separation semitone accurate control and diapason emotion expression, complete performance function is realized in the volume of not more than 90mm×55mm×22mm.The application considers zero threshold entry and professional creation demand, can form full-dimension complement with traditional musical instrument, and is suitable for full-scene music performance and creation.

The application discloses a high-resolution image reconstruction method and related device based on single-pixel detection, and belongs to the technical field of computational imaging and deep learning; the method generates a single-pixel detection signal through a target image and a trainable binary coding pattern; preliminary image information is reconstructed from single-pixel data by using a differential ghost imaging (DGI) technology; a combined loss function is designed to ensure the reconstruction accuracy of the image at the pixel level and the structure level; and the preliminary image information is input into a trained MSAW-UNet model to obtain a reconstructed image. The application can effectively reconstruct a high-resolution and high-quality image by using sparse single-pixel data under a low sampling rate, and overcomes the limitations of traditional reconstruction methods in resolution and image quality.

A fire panel log management system has a custom-made local computing device externally connected to the panel via an accessible port such as an RS232 printer port. The device captures binary encoded text logs, converts them into a standardized text format, and transmits to cloud-based data buckets. The device exchanges data with a remote computing device, or server, using an application layer communication protocol such as MQTT or HTTP, along with cryptographic communication protocol such as TLS / SSL to ensure secure communication. Real-time environmental data is collected such as weather, temperature, humidity, and solar radiation, including local temperature, humidity and air pressure. A web-based application provides a dashboard for visualizing logs, environmental data, and device status. Advanced log filtering by time and keywords, historical data review, with multi-tier user access control (Admin, Dealer, and Manager). The system is scalable and adaptable across various fire safety systems.

The application discloses a kind of single-path traffic transmission optimization methods and systems for complex network, it is related to network resource scheduling and quantum computing application technical field, including the following steps: the maximum transmission flow of each feasible path is dispersed into multiple flow levels, and the bias coefficient is dispersed into multiple bias coefficient levels;Log-level quantum bits are used to binary encode feasible path, flow level and bias coefficient level respectively, to obtain corresponding multiple encoding variables;Multiple encoding variables are fitted, and a QUBO model with cost minimization and flow maximization as optimization objectives is constructed;Different multiple encoding variables and auxiliary binary variables are input into the QUBO model, and the QUBO model is solved based on quantum optimization algorithm to obtain the optimal result.The application meets the requirement that the main flow sub-optimization algorithm is the highest order of decision variable is quadratic, significantly reduces the calculation redundancy caused by repeated optimization of multiple parameters in traditional method.

The application discloses a dynamic matching DAC of a multi-bit quantization Sigma-Delta ADC, and aims at solving technical bottlenecks of high control complexity of a DAC unit, great design difficulty of a dynamic element matching (DWA) circuit and significant non-linear distortion in an existing multi-bit Sigma-Delta ADC. In the application, N-bit control bits in a digital code of the Sigma-Delta ADC are split into a high-bit control code (MSB) and a low-bit control code (LSB), a binary code is adopted to replace a traditional temperature code to complete overall control, the high bit corresponds to a low-mismatch large-capacitance unit, the low bit realizes dynamic rotation matching through a simplified scale DWA circuit to compensate for mismatching errors of small capacitors. The application can greatly simplify the number of control words, reduce the hardware implementation complexity, and simultaneously suppress non-linear errors, and is suitable for being used in a high-speed multi-bit quantization Sigma-Delta ADC.