351 results about "Binary encoding" patented technology

The invention discloses a lightweight three-dimensional data format generation method suitable for ship model labeling, which comprises the following steps of: exporting a three-dimensional model file from ship design software, extracting a model attribute information file of the three-dimensional model file, analyzing the three-dimensional model file and the model attribute information file, and calculating to obtain attribute value information of a geometric body model in a model; the attribute value information of the geometry model is integrated and then converted into a lightweight data exchange format, a lightweight data exchange format file is converted into a binary format, and a lightweight three-dimensional data format file is obtained through transcoding and compression; and the lightweight three-dimensional data format file is stored in a database after being subjected to name matching based on the model attribute information. The volume of the lightweight three-dimensional data format file is small, only key data of the reduced model are reserved according to the characteristics of the ship model, and binary coding conversion and compression are performed on the file, so that the volume of the lightweight three-dimensional data format file is much smaller than that of a model file in a general format, and storage and network transmission are greatly facilitated.

The invention provides a lithium battery K value real-time prediction method based on neural symbol reasoning and multi-modal learning, and the method specifically comprises the steps: S1, carrying out the coding of an industrial signal through a binary coding mode, converting an input voltage sequence into a binary sequence, and extracting a frequency domain feature through a wavelet transformation technology; s2, using a neural symbol inference engine to realize verifiable feature selection, and executing feature selection under logic constraints; s3, by means of a multi-head potential attention mechanism fusion process knowledge graph, a potential space projection matrix is constructed, and the number of attention heads is adjusted through a dynamic head number adjusting mechanism; and S4, completing online knowledge migration by utilizing a dynamic distillation expert system, and realizing knowledge transfer and model optimization by combining a hybrid expert architecture and an online distillation technology and applying an expert dynamic activation function and knowledge distillation loss. According to the method, advanced technologies such as neural symbol reasoning and multi-modal learning are fused, the prediction precision is high, the response delay is small, the energy consumption ratio is low, and the interpretability score is high.

The invention relates to the technical field of video coding, in particular to a self-adaptive video coding method and device, equipment and a medium. Obtaining a video frame sequence, and carrying out segmentation operation on the video frame sequence; predicting the coding unit set according to a preset prediction mode; performing binary coding calculation according to the prediction error, a preset quantization parameter and a preset probability interval; evaluating according to the link state information and the historical network flow data to obtain a network broadband state; calculating according to the network bandwidth state and a preset gradient information evaluation formula to obtain a frame rate and a resolution; performing adaptive adjustment on the coding unit set according to the frame rate, entropy coding and resolution to obtain video coding; in a segmentation stage, coding units are divided according to video contents, an intra-frame mode is optimized in a prediction link, parameters are reasonably set during coding, a frame rate and a resolution ratio are dynamically adjusted through network adaptation, finally, codes are adaptively generated, bandwidth is efficiently utilized, and network changes are flexibly adapted.

A G-PCC coder may determine an occupancy of a reference child node in a reference node, wherein the reference node is in a reference frame of point cloud data used for inter prediction of a current node in a current frame of the point cloud data. The G-PCC coder may further determine a context for decoding a current occupancy bit of a current child node of the current node based on the occupancy of the reference child node, and arithmetic decode the current occupancy bit using the context.

The invention relates to the technical field of computer hardware acceleration and data processing, and discloses a data transmission method and device based on an accelerator card, and the method comprises the steps: collecting an original data stream of external equipment, carrying out the real-time feature analysis of the original data stream through a mode recognition engine, obtaining space-time related features, and carrying out the real-time feature analysis; performing binary coding on the space-time correlation features to obtain feature mark data; according to the instantaneous bandwidth of the M.2 interface and the load state of the AI chip, compressing the feature mark data into optimized compressed data by using a dynamic compression engine; inputting the optimized compressed data into a heterogeneous computing distributor so as to distribute a path selection instruction for the optimized compressed data through the heterogeneous computing distributor according to the feature marking type of the optimized compressed data; and according to the path selection instruction, completing data transmission of the optimized compressed data through the heterogeneous computing distributor to obtain a data transmission result. According to the method, the final data transmission result can meet the space-time consistency requirement of high-precision AI reasoning.

The invention discloses a low-orbit constellation measurement and control resource scheduling scheme based on an improved genetic algorithm, and the scheme comprises the steps: firstly building a model through satellite simulation software STK, obtaining resource data, building a scheduling distribution model, converting measurement and control resources and measurement and control tasks into a mathematical form, and carrying out the measurement and control of the low-orbit constellation, thereby achieving the high-dimensional and multi-constraint problems of the measurement and control of the low-orbit constellation. A profit value is specified for each measurement and control task, an arc section is used as a measurement and control main body according to constraint conditions, a function expression for evaluating the advantages and disadvantages of a scheme is specified, finally, an improved genetic algorithm is applied, improved binary coding is adopted, the measurement and control arc section is used as a gene unit, a tournament selection mechanism is utilized, and data preprocessing and multiple constraint judgment correction are carried out. And solving an optimal scheme. The scheme can efficiently process complex scheduling, reduce invalid search and improve algorithm efficiency and scheme feasibility, meets actual operation requirements, and is suitable for scenes such as commercial satellite measurement and control.

The invention belongs to the field of storage, and discloses a high-energy-efficiency mixed-precision charge domain in-storage computing architecture and a working method thereof. Comprising a single-slope analog-to-digital converter, a sparsity perception input alignment module, a multi-bit input accumulation module, a controller and an accumulation module, wherein the single-slope analog-to-digital converter consists of an index calculation array, a mantissa calculation array, a shared ramp voltage generator and a bidirectional counter. According to the invention, serial input binary coding based on capacitor voltage is suitable for floating point and integer multiply-accumulate operation with flexible bit width; according to the invention, a shared single-slope analog-to-digital converter (SS-ADC) is introduced to realize maximum index search and index difference calculation; according to the method, a sparsity perception calculation scheme is provided, low-importance input-weight pairs are filtered out through an adjustable threshold value, and invalid power consumption is reduced; according to the method, a multi-bit input accumulation method is further combined, and an ADC redundancy optimization quantization and normalization process is utilized, so that the overall energy efficiency is improved.

The invention discloses an intelligent marketing terminal power data communication security protection method and system, and belongs to the field of power data security, and the method comprises the steps: collecting electromagnetic noise spectrum data through a built-in environment electromagnetic sensing module of a terminal, extracting electromagnetic characteristic factors, and constructing a correlation model of the electromagnetic characteristic factors and the complexity of an elliptic curve cryptosystem; building a terminal twinborn mirror image, predicting a communication instruction sequence and calculating a deviation coefficient in combination with a long-short-term memory neural network; classifying and screening the power data collected by the terminal, desensitizing privacy data, and then fusing the privacy data into the hash fragment of the unique identifier of the terminal equipment to generate a desensitized power data packet containing the terminal identity identifier; a data abstract is generated according to encryption parameters determined by the association model, the access authority is verified, a data acquisition timestamp is converted into a binary coding sequence, the data abstract is embedded, and an encrypted data packet with a time sequence traceability watermark is generated and uploaded to the block chain for evidence storage; according to the invention, full-process security management and control of power data are realized, and the communication security and the data credibility are improved.

The invention discloses a memory fault processing method and device during writing, a terminal and a storage medium, and belongs to the field of memorys.The method comprises the steps that when a memory unrecoverable fault processing method is executed, whether a memory synchronization fault exists or not is judged, and when the memory synchronization fault exists, context register information of an interrupted process is obtained, and a value of a program counter is obtained; determining an address of the interrupted instruction, reading a binary code corresponding to the interrupted instruction based on the address of the interrupted instruction, and analyzing an operation code in the binary code; determining whether the currently interrupted process is in a write operation stage or not according to the analysis result of the operation code, and when the currently interrupted process is in the write operation stage, determining that a memory fault occurs during writing; when anonymous mapping is carried out, a new physical page frame is distributed, and the new physical page frame is used for replacing an original faulty physical page frame; determining all page table items related to the original fault physical page frame; and replacing the original information in all the page table entries with new physical page frame information.

The invention provides a power distribution network fault positioning method based on an improved black-wing plinual algorithm, and the method comprises the steps: obtaining the fault current information of a power distribution network, representing the fault state of each feed line section through binary coding, and obtaining the fault current code of each switch node; constructing a switching function, and associating an expected state of a switching node with a feeder line section; constructing an evaluation function for measuring the quality of the solution so as to gradually approach the optimal solution; an elite reverse learning strategy, a lens imaging reverse learning strategy and a golden sine strategy are introduced, an improved black-wing plinary algorithm IBKA is adopted, an individual with the minimum evaluation function value in the population is selected as a current optimal solution, the optimal solution is obtained through iterative solution, and a final fault section positioning result is generated; according to the method, the fault positioning search speed, precision and robustness of the power distribution network containing the distributed power supply can be effectively improved, and experimental simulation verifies that the method has higher accuracy and higher convergence speed and does not fall into local optimum.

The invention provides a circular target design and detection method for a multi-task scene, and the method comprises the steps: image preprocessing, candidate contour extraction, affine transformation correction, circular contour recognition, arc segment recognition, central point positioning, and coding and decoding, and the target is composed of a central circle, a positioning ring, and 12 arc segments. 12-bit binary codes are constructed through black and white binary arc sections, rotation invariant recognition is achieved by adopting a minimum decimal numbering rule, in the recognition process, high-precision positioning of a center point is achieved through multi-circle contour weighted fusion, and screening of the arc sections is completed according to angle and radius variance features; according to the method, a plurality of circles of circular structures including the center circular contour, the positioning ring and the coding ring are designed in the circular coding mark target, and a multi-circle-center weighted fusion positioning strategy is introduced in the target center point calculation process, so that errors caused by local contour recognition deviation can be effectively counteracted, and the center point positioning precision of the target is improved.

The invention belongs to the technical field of antenna optimization, and discloses a machine learning assisted antenna parameter and topological structure hybrid optimization method, which comprises the following steps of: 1, carrying out binary coding on an antenna parameter to be optimized, and combining the coded antenna parameter with a binary vector corresponding to a topological structure to obtain a binary vector; combining into a new mixed binary vector; step 2, generating a data set based on the mixed binary vector set in the step 1; 3, introducing a principal component analysis simplified model training process, and obtaining an optimized mixed binary vector in combination with an optimization algorithm; 4, electromagnetic simulation verification is carried out; 5, judging whether the optimization process meets a termination condition or not, and if yes, outputting an optimization result at the moment; and if not, updating the data set, and returning to the step 3. According to the method, the antenna parameters and the antenna topological structure can be optimized at the same time, machine learning is still adopted for auxiliary optimization at the same time, the optimization efficiency is improved to a certain degree, and a better optimization result is obtained.

In some example embodiments, there may be provided a method that includes receiving, by a machine learning encoder as part of a training phase, channel state information as data samples; generating, by the machine learning encoder, a latent variable comprising a log likelihood ratio value representation for the channel state information, wherein the latent variable provides a lower dimension binary representation when compared to the received channel state information to enable compression of the received channel state information; generating, by the binary sampler, a binary coding value representation of the latent variable, wherein the binary coding value converts the latent variable to a binary form; and generating, by the machine learning decoder, a reconstructed channel state information, wherein the generating is based in part on the binary coding value representation of the latent variable generated by the binary sampler. Related systems, methods, and articles of manufacture are also disclosed.

A hardware module for performing dot product operations includes receiver circuitry receiving a first vector and a second vector, each comprising at least two elements of a binary encoded integer. Logic generates an array of partial products of N rows of bits for a dot product operation between the first vector and the second vector. Grouping circuitry groups bits of the elements of the second vector into a binary number, wherein each binary number is associated with a respective row of the N rows of bits, and selector circuitry selects a partial product value for each of the N rows of bits based on the binary number that is associated with the respective row, such that one partial product is generated per binary number. The hardware module also comprises adder circuitry configured to perform adding the N rows of bits together to compute an output associated with the dot product operation between the first and second vectors.

The invention discloses a graph database decimal index coding and decoding method based on key value storage, and belongs to the technical field of graph database management. The coding method comprises the following steps: receiving numerical values to be coded and sorting direction parameters thereof; normalizing the to-be-coded numerical value, and extracting a symbol, a weight and a digital array of the normalized to-be-coded numerical value; dynamically generating a coding auxiliary parameter set based on the sorting direction parameters and the symbols, the coding auxiliary parameter set comprising sorting masks, escape characters and filling characters; converting the symbol, the weight and the digital array into a binary coded stream according to the coding auxiliary parameter set; adding a data termination mark consisting of escape characters at the tail of the binary coded stream; and outputting the binary coded stream for orderly storage and retrieval of the data. According to the method, the decimal value is decomposed into the symbol, the weight and the digital array, and then the compact binary coding mode is adopted for coding, so that efficient storage and query of the graph database index are realized.

The invention relates to the field of intelligent necklaces, in particular to an intelligent necklace for automatic identification and management of cattle and sheep, which comprises a plurality of necklaces and a mobile terminal, each necklace is provided with a controller, a first wireless component, a power supply and a light source, livestock identity information is preset in the controller, and the controller is used for converting the livestock identity information into a binary code; controlling the light source to output binary coded information at a fixed time interval by turning off and turning on the light source; the mobile terminal is provided with an optical information reading assembly and a second wireless assembly, the mobile terminal is used for reading the identity information of the livestock in the necklace, and the optical information reading assembly reads binary coding information output by turning on and turning off of the light source to obtain the identity information of the livestock. By the adoption of the technical scheme, livestock identity recognition can be carried out by outputting regular flash and recognizing the flash frequency through the terminal, and a veterinarian can conveniently record monitoring information.

The invention relates to the technical field of network communication, and provides a real-time data pushing method for binary format transmission data, and the method comprises the steps: S1, judging whether to start server pushing or not through a pushing decision engine; s2, when the server receives sensor data, converting the structured data into HTTP / 2 frames with priority marks through a binary encoder; s3, scheduling an HTTP / 2 frame transmission sequence through a flow controller according to a current network state, wherein the current network state at least comprises a data volume which can be currently received by the client; and S4, after receiving the HTTP / 2 frame, the client sends a preset confirmation frame to confirm receiving according to the HTTP / 2 frame serial number, and if the server does not receive the preset confirmation frame within the preset timeout time, the server marks that the HTTP / 2 frame is lost and re-uploads the HTTP / 2 frame marked as lost. Compared with WebSocket, the method has the advantages that the protocol overhead is reduced, the transmission efficiency is improved, the average delay of key data is reduced, and the method is compatible with the existing HTTP / 2 client.

The invention provides an encoding control method and device based on long-period cyclic traversal. The method comprises the following steps: generating a cyclic encoding sequence according to initial scanning parameters based on an n-bit binary encoder; wherein the cyclic coding sequence comprises 2n different decimal elements; performing end-to-end cyclic arrangement operation on the cyclic coding sequence to obtain a new cyclic coding sequence; each element in the new cyclic coding sequence corresponds to a binary significant bit, continuous n coding states of the binary significant bit are the same, and adjacent n coding states are alternately changed; and state switching of a plurality of execution components of the actuator is adjusted according to the new cyclic coding sequence, and the actuator is controlled to perform cyclic traversal scanning according to the new cyclic coding sequence. According to the method, the function of circular traversal scanning is achieved, the requirement of the system for the state switching completion response time of the actuator is lowered, and the higher traversal scanning speed can be achieved.

The invention discloses an equipment deployment method based on precoding cross entropy optimization in an Internet of Things system, which comprises the following steps of: (1) defining a physical boundary and an initial parameter of an equipment deployment area, and initializing an equipment deployment space coordinate; (2) discretizing a continuous space into binary codes through a space pre-coding module and a position coding mapper, and compressing search dimensions; (3) generating candidate deployment position samples according to the probability distribution; (4) calculating the system performance of the candidate position by using a complex black box system and an evaluation function; (5) updating probability distribution based on an elite sample, and accelerating convergence to an optimal solution; and (6) judging an optimal deployment position. Compared with a traditional gradient optimization and linear enumeration method, the closed-loop global optimization of the equipment deployment position is realized through space coordinate discretization coding, probability-driven candidate sample generation, system evaluation and a cross entropy probability iteration updating mechanism; and the global optimality guarantee and the calculation efficiency are synchronously improved.

The invention belongs to the technical field of document encryption, and discloses a document encryption traceability method based on document parameterization characteristics, which comprises the following steps of: selecting the parameterization characteristics related to characters in a document as a carrier of password information, and respectively representing 1 and 0 of binary codes by adopting numerical ranges of two parameter values which are not overlapped. During encryption, the parameter size of the corresponding feature in the document is adjusted corresponding to 1 and 0. And during decryption, parameter values of corresponding characteristics in the document are obtained, and size judgment is carried out. On one hand, parameterized features related to characters are features which can be directly measured in a document image, and parameter values of the parameterized features can be directly calculated and obtained based on image data and can be easily and directly obtained in the image processing process of the document. And on the other hand, during encryption and decryption, other elements except the document do not need to be depended on, a feature comparison step does not exist, a large amount of model training for feature comparison does not need to be carried out, and the complexity of the encryption and decryption process and the difficulty of feature recognition are effectively reduced.

An apparatus for generating a data stream according to an embodiment is provided. The apparatus is configured to generate the data stream, such that the data stream has header data and payload data. The apparatus is configured to generate the header data such that the header data comprises a synchronization header. Moreover, the apparatus is configured to generate the synchronization header using binary coding. Furthermore, the apparatus is configured to generate the synchronization header such that the synchronization header comprises a synchronization sequence being a predefined bit sequence having a plurality of bits.

The present invention relates to a luggage matching method based on image retrieval. The luggage target is obtained by constructing a luggage target detection model in advance, and then the target is subjected to feature extraction through a feature extraction model. After that, the output of the feature extraction is sent to a luggage picture auto-encoding model for binary encoding, and the generated binary encoding of the luggage photo is stored in a cache database. When there is a situation of luggage tag loss, only need to take a picture of the tagged luggage and upload it. The binary encoding of the tagged luggage photo is obtained through the luggage target detection model, the feature extraction model, and the luggage picture auto-encoding model, and the binary encoding is used to query in the cache database to find the corresponding passenger information of the luggage. The method of the present invention can effectively help the lost tagged luggage to find the owner, reducing the passivity of customer service staff when looking for luggage. The present invention adopts a method combining image retrieval and weight matching, greatly improving the accuracy rate.

The invention discloses a method and device for improving the reuse rate of a hardening module of a digital circuit and optimizing the time sequence, power consumption and area, and the method comprises the following steps: determining the instantiation times of the hardening module to be optimized, and calculating and determining the bit width w of a coding input signal; creating a new module, removing all instantiated parameters and constant value input ports, and adding a coding input port; creating a temporary variable in the new module; establishing a mapping relation in the new module; instantiating the original module internally by using the temporary variable; all original instances are re-instantiated using a new module, and the encoded value is assigned to the encoding input port. The optimization method provided by the invention is simple in steps, and not only can perform coding optimization on input parameters and constant values on the boundary of the hardened module by adopting a minimum bit width binary coding mode according to the multiplexing times of the hardened module on the premise of ensuring the logic equivalence of a digital circuit, but also can perform coding optimization on the input parameters and constant values on the boundary of the hardened module. And the time sequence, the power consumption and the area in the hardening module can be optimized to the greatest extent.

A circuit for encoding a C-PHY signal, a decoding circuit and a transmission device, the encoding circuit being characterized by: obtaining a C-PHY line state, forming a line state block, mapping the line state block into a binary number capable of uniquely identifying the line state block, and setting different line state blocks for an HS mode, an LP mode and an ALP mode, and binary coding mapping is carried out according to the corresponding line state block, so that the coding efficiency is improved under different conditions. Furthermore, a flag bit is set, so that the bit number of binary coding is reduced, and the coding efficiency is improved. According to the invention, the complexity of a coding circuit is reduced, the integrity of coding information is kept, and the coding and decoding efficiency and the transmission real-time performance are improved from multiple angles through a series of methods such as flag bits and line state sub-blocks.

The application discloses an image size calibration method based on an improved Zhang Zhengyou calibration method and a wood defect area calculation method. When the Zhang Zhengyou calibration method uses an L-M method to solve a maximum likelihood estimation minimum value, a problem of easily falling into a local extreme value is solved by using the advantage of globally searching for an optimal value of a genetic algorithm to optimize the defect that the L-M algorithm easily falls into a local minimum value. In the genetic algorithm, binary coding is selected as an encoding type according to a parameter type. On the basis of considering calculation efficiency, a function f(x) = e st is selected as a use function. A roulette method is selected as a selection operation method. A simple and effective one-point crossover is selected as a crossover operation method. Then, only an approximate solution is obtained near a global optimal solution by using the genetic algorithm. Then, the approximate solution is optimized by using an L-M local search algorithm. The advantages of the global genetic algorithm and the local optimization L-M method are effectively combined.

This invention provides a reference voltage buffer circuit and calibration method for a high-precision analog-to-digital converter (ADC). The circuit includes a first operational amplifier whose inverting input is connected to a reference voltage, and whose output is fed back to the non-inverting input via a first driving transistor and a voltage divider circuit. A second operational amplifier's non-inverting input is connected to a first voltage divider node, its inverting input is connected to a second voltage divider node, and its output is connected to the gates of several third driving transistors and a second driving transistor. The drains of the third driving transistors are all connected to the first voltage divider node via switches. The width-to-length ratios of the second driving transistors and the several third driving transistors are linearly related. The switches are all input with logic control signals to control their states for linear calibration of the reference voltage. This invention uses binary encoding to control the switch states for linear calibration of the output reference voltage and significantly reduces the total resistance by designing a linear relationship between the resistors, thus reducing chip area and cost.

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.

A distributed control method for urban multi-intersection traffic lights based on an evolutionary Q-network includes the following steps: constructing a Markov model for coordinated signal control, defining the agent, environment, state, behavior, and reward to provide a basic model for traffic light control; using a state encoding method to convert the actual traffic state into a binary feature vector, providing standardized input for the Q-network; based on the feature extraction results, using a Q-network structure encoding method to convert the neural network structure parameters into binary codes, preparing for the automatic search for the optimal network structure; using a Q-network structure evolution algorithm to automatically adjust the Q-network structure based on the state codes to find the optimal solution, automatically matching the Q-network structure with the complexity of the coordinated signal light control task; and constructing a distributed decision-making and computational method based on the road network subunits controlled by the Q-network to achieve coordinated signal light control on a large-scale road network. This method can improve road network load balancing and reduce transportation delays.

The invention belongs to the technical field of compound screening, and provides a method for rapidly screening mass spectrum positive signals of organophosphorus ester compounds, which comprises the following steps of: performing binary coding on OPEs compounds and non-OPEs compounds to establish a mass spectrum database, training a machine learning model by using a data set in the mass spectrum database, and screening the mass spectrum positive signals of the organophosphorus ester compounds to obtain the mass spectrum positive signals of the organophosphorus ester compounds. And after training is completed, the machine learning model is used for predicting a mass spectrum to be detected, and screening of the organophosphate compounds is completed. According to the method, manual mass spectrum comparison is not needed, the screening flux is improved, a foundation is laid for standardized application of the screening process, and the screening efficiency is improved; in the screening process of an actual sample, the screening efficiency is improved from the original hour level to the minute level, and the purpose of rapidly screening the organophosphate compounds is 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.