50 results about "Character encoding" patented technology

The invention provides a dynamic coding and decoding negotiation method based on link state quality. The dynamic coding and decoding negotiation method comprises the following steps: grouping reference station RTCM data and determining the priority of the RTCM data according to the message ID of the RTCM data; based on the determined first strategy selection mode, the RTCM data is subjected to check code generation, character coding and encryption in sequence, and the strategy selection mode of the base station is synchronized to a strategy selection module of the moving station; after the moving station receives the data, decryption, character decoding and verification are sequentially carried out on the encrypted data based on the information synchronized by the strategy selection module; meanwhile, the moving station counts the packet loss rate and the verification failure rate of the RTCM data in real time; and adjusting the strategy selection mode of the next group of data according to the quality of the current link, the system load and the priority of the RTCM data until all grouped data are sent. According to the invention, a real-time closed loop is provided, and the link quality is evaluated more comprehensively.

The invention provides a software registration serial number encryption generation method in the field of data security. The software end and the authorization end are internally provided with the same character code mapping tables H1 and H2. In the encryption process, information such as a hard disk serial number is encoded into P0 with 25 characters, four characters are randomly selected from an H1 table to serve as a dynamic password, P0 is sequentially mapped and encoded according to rules to obtain P4, a check code of one character is calculated, and finally a serial number with 30 characters is generated. During decryption, the serial number is firstly disassembled, P0 is decoded according to rules after verification is passed, and hardware and software information is obtained through splitting and analysis. According to the method, the serial number is endowed with high uniqueness and unpredictability through a complex encryption algorithm and multiple hash operations, the ciphertext is still visible characters, the ciphertext is provided with a dynamic password and verification data, safety and convenience are both considered, and the method is particularly suitable for serial number transmission and software authorization management.

Provided in the embodiments of the present disclosure are a data compression method, a data decompression method, a computing device, a computer storage medium and a computer program product. The data compression method comprises: determining data to be compressed that has been subjected to character coding according to a unicode coding format; according to a byte order, reading character data from the data to be compressed, and determining a first dictionary or a second dictionary hit by the character data; searching for a coding sub-space corresponding to the first dictionary or the second dictionary, and determining coded values, in corresponding coding sub-spaces, of dictionary data hit by the character data, so as to obtain a coded-value set corresponding to the data to be compressed; and on the basis of the coded-value set and the first dictionary, obtaining compressed data.

The invention provides a computer system and method for supporting multi-language file processing. The computer system comprises a storage unit and a processing unit. The storage unit stores a graphical user interface (GUI) program and a file. The processing unit loads a GUI program from the storage unit to perform the following steps: receiving a file name of a file, where the file name is represented in a first language and follows a first character coding standard; establishing an alias for the file name, where the alias is expressed in the second country language and follows the first character coding standard; connecting the alias to the file such that both the file name and the alias refer to the file; and converting the alias to conform to a second character coding standard so as to start underlying processing conforming to the second character coding standard for the file referenced by the alias.

This specification provides a method and apparatus for generating user-described text based on a text generation network. The method includes: inputting various features of a target user into a first encoder; obtaining initial user feature vectors corresponding to each feature through the first encoder; encoding these features based on a self-attention mechanism to obtain an encoded state vector; inputting the encoded state vector into a retrieval model; retrieving K sentences from a human-made knowledge base through the retrieval model; determining the character encoding vectors corresponding to each character contained in the K sentences; determining attention coefficients based on the decoder's output feedback vector and the character encoding vectors; and weighting and summing the character encoding vectors based on the attention coefficients to obtain a semantic representation vector; inputting the encoded state vector and the semantic representation vector into a decoder; and generating user-described text for the target user through the decoder, with the decoder's hidden state serving as the output feedback vector. This method can improve the quality of the obtained text.

The embodiment of the invention provides a data compression method, a data decompression method, computing equipment, a computer storage medium and a computer program product. The data compression method comprises the following steps: determining to-be-compressed data subjected to character coding according to a unified code coding format; reading character data from the to-be-compressed data according to a byte sequence, and determining a first dictionary or a second dictionary hit by the character data; searching coding subspaces respectively corresponding to the first dictionary or the second dictionary, and determining coding numerical values of dictionary data hit by the character data in the corresponding coding subspaces to obtain a coding numerical value group corresponding to the data to be compressed; and obtaining compressed data based on the coding numerical value group and the first dictionary. According to the technical scheme provided by the embodiment of the invention, the compression rate and the compression speed of data compression are ensured, and the compression performance is improved.

The invention discloses an SNP phenotype prediction method based on deep learning, and relates to the technical field of data processing, and the method comprises the following steps: S1, obtaining SNP genotype data of a VCF file, and generating a double-character coding sequence; s2, constructing an SNP (Single Nucleotide Polymorphism) basic model; s3, based on the double-character coding sequence, training the SNP basic model; and S4, performing phenotype prediction by using the trained SNP basic model. According to the method, the pre-training thought of deep learning is utilized to directly perform SNP phenotype prediction, starting from genomic sequence features, the BERT architecture is further extended to the field of genomics, and a more direct and efficient calculation method is provided for phenotype prediction.

The application provides a double-array tree-based dictionary construction method and word query method, which comprises the following steps: generating a sensitive word tree based on the split text characters of each sensitive word and the arrangement order of the text characters, wherein each path in the sensitive word tree corresponds to a sensitive word; performing dictionary coding on the split text characters of the sensitive word after deduplication to obtain the character coding corresponding to each text character; determining the base coding of each character node in the sensitive word tree in layers according to at least one of random selection trial calculation, self-increment selection trial calculation, overall query selection trial calculation and preset data selection trial calculation; determining the storage location coding of the text character of each character node in the storage space based on the character coding corresponding to the text character of each character node and the base coding of the parent node of each character node, and taking the storage location coding of the parent node of each character node as the check coding of each character node, so as to construct a sensitive word dictionary.

The invention belongs to the technical field of communication, and discloses an early warning device and method based on a private system and a storage medium, and the device comprises a monitoring module which is used for monitoring the actual operation environment parameters of a mine to obtain a monitoring signal; the data processing module is used for generating an early warning signal when the monitoring signal is judged to exceed a preset threshold value, sending the early warning signal to the communication module by utilizing a cell broadcast service, and predicting and generating a risk analysis report according to historical data by utilizing a target mixed model; and the communication module is used for carrying out code conversion on the early warning signal by utilizing a character coding mechanism, converting the obtained coded data into a target early warning broadcast message and sending the target early warning broadcast message to an operator so as to remind the operator to take corresponding measures according to the risk analysis report, so that the early warning signal is accurately and quickly made, and the operation safety is improved.

The invention provides a file generation method and device based on character coding, equipment, a storage medium and a program product, and can be applied to the technical field of big data. The file generation method based on character coding comprises the following steps: analyzing a received target parameter from an upstream application, and determining a connection string for accessing a target database; the target parameter is used for defining a file generation format so as to ensure that the generated file can be correctly analyzed by a downstream application; calling a target interface in a target database based on the connection string so as to read an initial byte array from the target database based on the target interface; the target interface is an interface which is provided by a target database and is used for streaming data reading; coding the initial byte array based on the target character coding information to obtain a target byte array; and writing the target byte array into a pre-created initial file to obtain a target file.

A computer system for supporting multi-language file processing is provided. The computer system includes a storage unit and a processing unit. The storage unit stores a graphical user interface (GUI) program and a file. The processing unit loads the GUI program from the storage unit to perform the following steps. The processing unit receives a filename expressed in a first language and encoded with a first character encoding standard, and generates an alias expressed in a second language using the same encoding. The processing unit links the alias name to the file so that both the filename and the alias name refer to the file. The processing unit converts the alias name to follow the second character encoding standard, so as to enforce low-level processing that follows the second character encoding standard on the file to which the alias name refers.

The invention provides a Mongolian Baiti-based method and device for converting Mongolian into Mongolian conforming to a GBT25914-2023 standard, a readable storage medium and equipment. The method comprises the following steps: S1, inputting Mongolian in a word form; s2, preprocessing the Mongolian words, including deleting other control characters except the first control character in the plurality of continuous control characters; s3, obtaining font IDs obtained by Mongolian words through a text rendering engine; s4, the obtained font ID is converted into a corresponding nominal character Unicode code string which conforms to the standard of GB / T25914-2023; s5, filtering the redundant control characters of the Mongolian words corresponding to the Unicode coding string of the nominal character converted in the step S4, and filtering the redundant control characters of the Mongolian words corresponding to the Unicode coding string of the nominal character converted in the step S4; and S6, finally outputting the Mongolian which accords with the standard of GB / T25914-2023. The invention provides a method for converting Mongolian established by Mongolian Baiti into Mongolian conforming to the GB / T25914-2023 standard, so as to conform to the policy requirement and meet the requirement that the Mongolian conforming to the GB / T25914-2023 standard needs to be used in reality, and provides a method for converting Mongolian established by Mongolian Baiti into Mongolian conforming to the GB / T25914-2023 standard.

The present application relates to the field of thermal printer printing data processing and control, and particularly relates to a kind of vector printing thermal printer control method and system.The method comprises: obtaining vector font library file and printer parameter, and constructing font rendering session configuration structure;Parsing print task field, arranging character encoding queue, loading glyph outline data and executing prompt contour fine tuning, anti-diffusion prompt rule mapping and contour point cluster sampling, generating anti-diffusion prompt contour package structure;Contour scaling, rasterization gray coverage calculation and binarization processing are carried out, and point row bitmap data stream structure is obtained;Based on point row bitmap data stream, point row heating timing is arranged, and print head heating instruction sequence is generated.The present application effectively reduces the influence of thermal diffusion by anti-diffusion prompt rule mapping, improves print clarity, and improves paper feeding precision by using closed-loop control, enhances system reliability and traceability.

A computer-implemented method for encoding data to be stored in a solid-state storage device. The method includes the steps of, providing a source data; calculating an entropy of the source data; applying a first encoding scheme to encode the source data into an encoded data, if the entropy is below a threshold; and applying a second data encoding scheme to encode the source data into the encoded data, if the entropy is equal to or higher than the threshold. The first encoding scheme is adapted to encode most frequently combined characters in the source data into predetermined characters to increase ratio of the predetermined characters in the encoded data. The second data encoding scheme is adapted to encode evenly distributed combined characters into a plurality of patterns with the predetermined characters, in order to increase the ratio of the predetermined characters in the encoded data.

The invention belongs to the technical field of oil and gas mine data processing, and discloses an oil and gas mine right annual inspection report automatic generation method and system based on a data lake, and the method comprises the steps: extracting an annual inspection report business data field from a data lake according to a preset extraction condition; data preprocessing is carried out on the extracted data fields, and the data fields are integrated into a target table; and according to the data in the target table, generating an oil and gas mine right annual inspection report meeting the specification requirements. According to the method, manual processing is replaced by an automatic data extraction and report generation process, so that the data processing time and labor cost are greatly reduced. Through the preset extraction condition and the API interface, the data can be rapidly extracted from the data lake and integrated, and the data processing efficiency is greatly improved. The possibility of human errors is reduced through automatic processing, and particularly, the accuracy of the data is ensured through recognition and processing of wrong character codes, negative numbers, missing values or abnormal values in the data.

This invention provides a method, server, and storage medium for anti-counterfeiting identification of corks. First, a cork image is acquired. Then, character codes are extracted from the cork image, and the original texture image of the cork is retrieved from a database based on these character codes. Next, the cork outline in the cork image is identified to determine the compression state of the cork. Finally, the anti-counterfeiting identification result of the cork is determined based on the cork image, the original texture image, and the compression state. By matching the cork image taken by the user with the original texture image stored in the database, and combining this with the compression state of the cork after it has been opened, the matching process is completed, avoiding misidentification caused by cork deformation and effectively improving the accuracy of anti-counterfeiting identification of corks.

The invention provides an agricultural standard knowledge graph dynamic generation method and system, through an improved BiLSTM-CRF model, the recognition precision of a composite numerical entity is significantly improved, a ViT + CLIP bimodal architecture is utilized to realize zero sample image annotation, and a category-guided cross-modal secondary screening mechanism is innovatively introduced, so that the recognition precision of the composite numerical entity is greatly improved. The large progress is achieved in the three core dimensions: for complex numerical entity recognition in the agricultural standard, successful analysis is achieved through a joint modeling mode of fusing character coding and numerical feature mapping; numerical value + unit + operator '; due to the composite structure, the entity recognition accuracy is obviously improved; in the aspect of cross-modal understanding, a CLIP-based zero sample labeling mechanism breaks through the dependence of a traditional method on labeling data, so that the image label generation efficiency is obviously improved. The finally constructed knowledge graph realizes visual retrieval and intelligent reasoning of agricultural standard knowledge under the support of neo4j, and provides accurate knowledge service for agricultural technology popularization.

The application provides a recognition code confusion generation method, a verification method, equipment, a medium and a program product. The method comprises the following steps: obtaining an original identifier of a data entity and a business scenario value corresponding to the data entity; generating a second character encoding table based on the business scenario value adjusting a first character encoding table; performing a concatenated reversible confusion transformation on the original identifier based on the business scenario value and a preset confusion parameter to obtain a confusion identifier; generating a recognition code by encoding the confusion identifier based on the second character encoding table; and storing a three-element mapping relationship of the business scenario value, the original identifier and the recognition code. When the recognition code is verified, the second character encoding table is reconstructed based on the business scenario value, the original identifier is decoded and reversely restored, and whether the to-be-verified recognition code passes the verification is determined according to the three-element mapping relationship of the business scenario value, the original identifier and the recognition code. The application improves the anti-traversal capability of the recognition code and reduces the risk of recognition code cross-scene reuse and counterfeit access.

The application discloses a scientific and technological report achievement duplication checking method based on neural network feature recognition, and belongs to the technical field of report duplication checking. In the application, the searching and comparing objects of the report to be checked are expanded through an external network compensation unit, and the near-synonymous words and short sentences of the extracted words and sentences are brought into the objects to be checked by using a word / sentence near-synonymous compensation unit, so that the report to be checked can effectively avoid duplication checking by using near-synonymous words and sentences to evade the duplication checking, and the coincidence degree and the similarity are reduced, the accuracy and the reliability of the duplication checking system are greatly enhanced, the recognizable length of the character code is set by each threshold setting unit, and the setting values are different, the result of the report is further optimized under the conditions of the accurate and multiple times of recognition, and the coding content is periodically transformed and updated by means of a code changing and transforming unit, so that one-way data transmission is constructed, and the extracted content is guaranteed.

A computer-implemented method for encoding data stored in a solid state storage device, the method comprises the steps of providing source data, calculating an entropy of the source data, encoding the source data into encoded data using a first encoding scheme if the entropy is below a threshold, and encoding the source data into encoded data using a second data encoding scheme if the entropy is equal to or above the threshold. The first coding scheme is used for coding the most frequently combined characters in the source data into predetermined characters so as to increase the proportion of the predetermined characters in the coded data. The second data encoding scheme is adapted to encode uniformly distributed combined characters into a plurality of arrangements having predetermined characters to increase the proportion of the predetermined characters in the encoded data. According to the invention, significant performance differences among different data modes are realized, and a high-performance data mode is selected for storage, so that the service life of storage equipment is prolonged.

The invention relates to an anomaly detection and display method for an infrared movement, and belongs to the field of embedded software. Comprising the following steps: establishing a small word stock dot matrix array and small word stock character codes, and establishing a code index table; when the infrared movement program is abnormal, hardware and software detection is carried out on the infrared movement, and abnormal information is returned; obtaining dot matrixes corresponding to characters in the abnormal information from the small word stock dot matrix array through the coding index table, and starting from the first row, executing the following steps row by row for row-by-row display: sequentially obtaining element values corresponding to the current row in the dot matrixes corresponding to the characters, and converting the element values into binary systems for display, and when the current character of the current row is displayed, acquiring an element value corresponding to a character behind the current row to perform binary conversion. According to the method, the dot matrix corresponding to the abnormal information character is obtained through the preset coding index table and the small word stock dot matrix array, the dot matrix is converted into the binary system to be directly displayed, caching is not needed, the occupied space in an FPGA chip is saved, and the display efficiency is improved.

The present invention provides an information processing method, a computer program, and an information processing device that are expected to facilitate the recording of information related to sports matches and to allow the recorded information to be used for match analysis and other purposes. [Solution] The information processing method according to this embodiment involves an information processing device acquiring event information that encodes the content of an event concerning a player that occurred during a sports match, and storing the acquired event information in association with time information relating to the time when the event information was acquired. Furthermore, multiple pieces of the event information may be output in chronological order based on the stored time information. The event information may be information in the form of a string formed by encoding the player involved in the event, the location where the event occurred, the content of the event, the result of the event, the team to which the player belongs, and additional information into characters, and then concatenating multiple characters.

This disclosure relates to a method, apparatus, medium, and device for controlling a virtual object. The method includes: acquiring game state data of a target virtual object in the current game; determining game features and character encoding features corresponding to the target virtual object based on the game state data, wherein the game features represent the data corresponding to the current game image frame of the target virtual object in the current game, and the character encoding features represent the features of the virtual character corresponding to the target virtual object; obtaining a decision action output by the action decision model based on the game features, the character encoding features, and the action decision model, and controlling the target virtual object according to the decision action; wherein the action decision model includes a feature processing unit and a prediction unit, wherein the feature processing unit is used to adjust the game features based on the character encoding features to obtain processed game features, and the prediction unit is used to determine the decision action based on the processed game features.

This disclosure provides a method for identifying the language of closed subtitles. The method involves acquiring a video stream with a preset encoding format from the bitstream, obtaining Network Abstraction Layer (NET) data of the supplementary enhancement information type from the video stream, and determining the character encoding of the closed subtitles if they are found in the NET data. The language of the closed subtitles is then determined based on the character encoding and a preset mapping relationship between character encodings and languages. This disclosure allows for the rapid and accurate identification of the language of closed subtitles even when the original bitstream lacks subtitle language information. This disclosure also provides a subtitle language identification device, a computer device, and a computer-readable medium.

The present application relates to the technical field of data security, in particular to a website protection method based on data security, comprising the following steps: according to the website data security request, extracting the identity credential identifier and access timestamp in the access connection, and generating a trace bit set; operating the trace bit set to generate a pseudo-random key bit string. The present application cuts and segments the page text elements according to coordinate items, inserts zero-width character encoding groups at the cutting gap positions to form text steganography payloads, recombines the steganography report values and the text steganography payloads into mixed hidden data streams, so that the text content and the value content jointly carry the trace information; block encoding and packaging the mixed hidden data streams, and attaching the transmission protocol header field and the check sequence information to form a safe transmission payload that can be issued, checked and tracked, thereby improving the source identification ability and the tampering discovery ability of the website data in the display, transmission, copy and abnormal propagation scenarios.

The present disclosure provides a method for accelerating remote control of a measurement application device, the method comprising receiving a control command for the measurement application device, the control command being received in a text-based format that uses a predetermined character encoding for encoding the command text, mapping the received control command to a command identifier, and transmitting the command identifier to the measurement application device.

The embodiment of the invention discloses a character messy code processing method and device based on JAVA and a medium, belongs to the technical field of data processing, and solves the problems that different systems often adopt different coding standards, information distortion is caused by coding incompatibility during data interaction, and the integrity and readability of data are damaged. Comprising the steps of obtaining to-be-converted messy code characters; determining a pre-conversion format and a post-conversion format in a preset coding format set, and converting the to-be-converted messy code characters in sequence based on the pre-conversion format and the post-conversion format to obtain a plurality of converted texts; performing character detection on each converted text; generating a conversion path based on the format before conversion and the format after conversion under the condition that the detection result is that the character conversion is successful; otherwise, feeding back a supplementary coding format prompt.

The application provides a Korean context prompting method and device, electronic equipment and storage medium, and belongs to the language learning field. The application solves the problem that the existing prompting method cannot construct a complete context scene framework, which makes it difficult for learners to effectively understand the context, resulting in low language learning efficiency. A Korean context prompting method includes obtaining text information, converting it to a standard format using a character encoding conversion algorithm, segmenting the text, and generating formatted text data; determining the main syntax components, optimizing the preliminary analysis results, and constructing a complete syntax tree structure; defining the semantics of Korean vocabulary in the text data, querying in the database, and using a neural network model based on the attention mechanism to determine the specific semantics of Korean vocabulary in the current context; performing theme domain analysis and extracting key information to construct a complete context scene framework; and generating prompt information using a context prompting generation algorithm based on the context scene framework. It is mainly used for Korean learning.

The invention relates to a data processing method and device, computer equipment and a storage medium. The method comprises the steps of obtaining text data; according to codes of characters in the text data, a first emoticon sequence is obtained, and the first emoticon sequence is a combination of emoticon codes and skin color modifier codes; on the basis of preference configuration information corresponding to the skin color modifier, the skin color modifier code is adjusted, a second emotion icon sequence is obtained, and the preference configuration information is configured according to the preference of the user; and determining an output result of the emoticons according to the second emoticon sequence. By adopting the method, the problem that the skin color of the emoticon in the prior art does not support the user to adjust according to preference can be improved.