17 results about "Prefix code" patented technology

The present disclosure provides a method of decoding a prefix coded bitstream, the bitstream comprising prefix coded symbols, the symbols being of multiple different types. The method comprises: obtaining a first set of N bits of a prefix coded bitstream, wherein N > 2, wherein the first set of N bits contains at least part of a prefix code, wherein a prefix code is associated with a symbol, wherein a plurality of symbols form a set of symbols, the set of symbols comprising a leading symbol of a first type and at least one symbol of a second type, the second type different to the first type, wherein each symbol indicates a type of the following symbol, wherein a final symbol in the set of symbols indicates that the following symbol is of the first type; performing a first coding operation on the first set of N bits, wherein the first coding operation associates multiple prefix codes with multiple symbols. If the first coding operation obtains the leading symbol and final symbol in the set of symbols, then the method further comprises: obtaining a second set of N bits of the prefix coded stream, wherein the second set of N bits includes any undecoded bits of the first set of N bits. If the first coding operation does not obtain the final symbol in the set of symbols, then the method further comprises: iteratively performing a second coding operation until the final symbol in the set of symbols is obtained, wherein the second coding operation comprises obtaining a first set of P bits of the prefix coded stream, wherein 1 < P < N, wherein the first set of P bits includes any undecoded bits of the first N bits, wherein the second coding operation associates one prefix code in the first set of P bits with one symbol.

The application relates to the field of power distribution automation digital networks, and discloses a primary and secondary fusion complete ring network box data interaction method and system, which comprises the following steps: calculating a transient mutation variable factor in each sampling window; when the transient mutation variable factor is greater than a mutation variable factor threshold value, switching a long byte message into a short frame segment and multiplexing a transient mutation pre-warning prefix code; a receiving end captures a jump edge of the prefix code, thereby adjusting a shift register addressing step length to realize frame synchronization; when the transient mutation variable factor falls back, a hysteresis count characteristic value is controlled to increase with the sampling window until a standard long byte message structure is restored when a safety window threshold value is reached, the application enables the data interaction to have an active feedforward defense capability, overcomes data frame misplacement and step loss and protocol boundary oscillation under burst pulse group interference, eliminates communication deadlock of a control terminal, and guarantees high-concurrent error-free transmission of key alarm messages.

55 ABSTRACT Decoding of variable-length prefix code data of an image data stream A computer processing system for decoding an image data stream which includes 5 variable-length character-strings representing symbols which have been encoded in accordance with a variable-length prefix encoding scheme. The symbols represent image data. The computer processing system comprising processing logic configured to receive the image data stream and query an acceleration table on the computer processing system with a fixed number of characters of the received image10 data stream to identify an entry of the acceleration table. Each of a plurality of the entries of the acceleration table indicates a decoded symbol to be returned, and the acceleration table has multiple entries which indicate the same decoded symbol represented by a character-string having fewer than said fixed number of characters. The computer processing system is further configured to, if the identified entry 15 indicates a decoded symbol, output the decoded symbol indicated by the identified entry for use in forming an image. Figure 5

Embodiments of the present disclosure provide a scheme for code generation. A method includes receiving a query indicative of a code generation problem; generating, using a target machine learning model, a first code segment based on the query and a prefix code, wherein the target machine learning model is constructed based on a language model and configured to iteratively generate code segments to form computer code for the code generation problem; determining, using a trained reward model, a first reward score corresponding to the first code segment based on an updated prefix code, the first reward score indicative of correctness of the first code segment with respect to the code generation problem, wherein the first code segment is appended to the prefix code to obtain the updated prefix code; and fine-tuning the target machine learning model based on at least the first reward score through reinforcement learning.

The application relates to the technical field of traceability codes, and provides a traceability code assigning method, a traceability code identification method and electronic equipment. The traceability code assigning method comprises the following steps: obtaining first data, second data and third data of a target product individual, the first data is used for representing basic identity information of the target product individual, the second data is used for representing standard business information of an industry to which the target product individual belongs, and the third data is used for representing self-defined business information of an enterprise to which the target product individual belongs; a first code area is constructed according to a preset prefix code symbol and the first data, a second code area is constructed according to a preset visible separator symbol and the second data, and a third code area is constructed according to the preset visible separator symbol and the third data; the first code area, the second code area and the third code area are sequentially spliced to obtain a target traceability code; and the target product individual is assigned a code according to the target traceability code. Based on the application scheme, a traceability code capable of meeting multiple requirements can be constructed.

Decoding a data stream which includes variable-length character-strings representing symbols which have been encoded in accordance with a variable-length prefix encoding scheme (such as Huffman encodi

The application discloses a power equipment fingerprint code generation method and system, and belongs to the technical field of Internet of Things. The method comprises the following steps: generating a prefix code based on a national code, an industry code and an enterprise code; generating an equipment type code and an equipment state code according to an equipment type classification standard and an equipment state table; obtaining power equipment attribute information to form multidimensional data, generating a plurality of fingerprint libraries according to equipment characteristics, obtaining equipment components based on different fingerprint libraries, performing a hash operation based on an equipment component selection strategy, merging fingerprint component hash values to perform a hash operation again to obtain characteristic hash values; combining the prefix code, the equipment type code, the state code and the characteristic hash values to generate a check code; combining the equipment type code, the state code, the characteristic hash values and the check code to generate a suffix code; and generating the power equipment fingerprint code by combining the prefix code and the suffix code. The application is based on a fusion coding rule, unifies power equipment software and hardware management, and realizes full life cycle data management of the power equipment.

A computer processing system for decoding a neural network data stream which includes variable-length character-strings representing symbols which have been encoded in accordance with a variable-length prefix encoding scheme. The symbols represent neural network data. The computer processing system comprising processing logic configured to receive the neural network data stream and query an acceleration table on the computer processing system with a fixed number of characters of the received neural network data stream to identify an entry of the acceleration table. Each of a plurality of the entries of the acceleration table indicates a decoded symbol to be returned, and the acceleration table has multiple entries which indicate the same decoded symbol represented by a character-string having fewer than said fixed number of characters. The computer processing system is further configured to, if the identified entry indicates a decoded symbol, output the decoded symbol indicated by the identified entry for use in training a neural network.

Decoding bitstream comprising prefix coded symbols of multiple different types, comprising obtaining first set of N bits of bitstream, N > 2, wherein first set contains (part) of prefix code which is

The invention discloses a civil aviation logistics data processing and analysis method, and relates to the technical field of data processing, and the method comprises the steps: setting a dynamic coding rule, and generating a prefix code according to a data field and an authority code; analyzing the user requests, identifying the prefix codes, and distributing the user requests to corresponding request queues according to the prefix codes to form batch processing requests; grading the requests in each request queue according to a distinguishing index and a degree threshold value; an emergency buffer area is established, a preprocessing layer is arranged in the emergency buffer area, a time code is set to mark each user request, a processing time threshold value is set, and the user requests with the time codes larger than the processing time threshold value are transferred into the preprocessing layer to be preprocessed; through data coding and request queue division, the effects of effective management and rapid processing of cargo data are realized. And a dynamic coding rule and a prefix code are set, so that the effect of further improving the data acquisition and processing efficiency is realized.

A computer processing system for decoding a data stream which includes variable-length character-strings representing symbols which have been encoded in accordance with a variable-length prefix encoding scheme. The computer processing system comprising processing logic configured to receive the data stream and query an acceleration table on the computer processing system with a fixed number of characters of the received data stream to identify an entry of the acceleration table. Each of a plurality of the entries of the acceleration table indicates a decoded symbol to be returned, and the acceleration table has multiple entries which indicate the same decoded symbol represented by a character-string having fewer than said fixed number of characters. The computer processing system is further configured to, if the identified entry indicates a decoded symbol, output the decoded symbol indicated by the identified entry.

Decoding a data stream which includes variable-length character-strings representing symbols which have been encoded in accordance with a variable-length prefix encoding scheme (such as Huffman encodi

The application provides an MVP architecture development method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining attribute information of a target module component, and a name and a relative path of a to-be-developed view class; creating an MVP folder under a target module component directory according to the attribute information of the target module component and the name and the relative path of the to-be-developed view class; determining a prefix code of MVP architecture development code according to the name of the to-be-developed view class; and generating the MVP architecture development code of the target module component under the MVP folder according to the prefix code of the MVP architecture development code according to a preset writing specification of the MVP architecture development code. The method provided by the above scheme automatically generates the MVP architecture development code that meets the writing specification of the MVP architecture development code, and the developer does not need to manually write the code, thereby improving the development efficiency of the MVP architecture.

Embodiments of the present disclosure provide a solution for code generation. A method comprises: receiving a query indicating a code generation problem; generating, using a target machine learning model, a first code segment based on the query and prefix code, wherein the target machine learning model is constructed based on a language model and is configured to iteratively generate code segments to form computer code for the code generation problem; determining, using a trained reward model, a first reward score corresponding to the first code segment based on updated prefix code, the first reward score indicating a correctness of the first code segment with respect to the code generation problem, wherein the first code segment is attached to the prefix code, to obtain the updated prefix code; and fine-tuning the target machine learning model through reinforcement learning based at least on the first reward score.

The invention relates to a data management method for port hoisting equipment based on big data, which is characterized in that a structured prefix code is added to each piece of data at an equipment data acquisition end for source coding, and the code comprises a data type, an equipment identifier and specific variable information; after the data is uploaded, the central platform automatically collects the data to a corresponding processing assembly line according to a data type prefix, carries out structuralization, standardization and vectorization processing, and carries out classified storage; furthermore, the basic data are calculated through a functional module, and intelligent data such as service life and advanced fault diagnosis are derived. According to the invention, through automatic collection and accurate positioning of coding driving data, the data query and analysis efficiency is improved from several hours to a minute level, the system computing power and bandwidth pressure are significantly reduced, and standardized and intelligent full-life-cycle management of port hoisting equipment data is realized.

Decoding a neural network data stream which includes variable-length character-strings representing symbols which have been encoded in accordance with a variable-length prefix encoding scheme (such as

A computer processing system for decoding an image data stream which includes variable-length character-strings representing symbols which have been encoded in accordance with a variable-length prefix