97 results about "Character encoding" patented technology

The invention discloses an intelligent document analysis method of a knowledge base management system, and relates to the field of artificial intelligence large model multi-modal analysis. Comprising the following steps: step 1, preliminarily identifying a document format according to a document extension name, and performing corresponding analysis according to the type of the document format: performing text analysis for pdf, docx, doc and txt document formats, and extracting texts and images in the pdf document format for the pdf document format; aiming at the docx document format, analyzing the compressed package in the docx document format according to the natural sequence of the document, and extracting a text and a picture; aiming at the doc document format, identifying and extracting all text information in the doc document format; for a txt document format, character codes are recognized and processed, and various languages and symbols are extracted; the method comprises the following steps of 1, analyzing a text, 2, processing the analyzed text by utilizing a large model, namely segmenting the text, performing vectorization processing, converting the text into a numerical form which can be understood by the large model, and storing the converted text in a knowledge base for information retrieval, data analysis and knowledge mining, and 3, performing visual output on the text at the same time.

Techniques and solutions are provided for determining the validity of encoded data. Data encoding techniques associated with a particular format can encode characters as a sequence of bytes, where the bytes can be of particular types. Particular sequences of byte types can be valid or invalid using a given encoding format. Lookup tables can be defined to examine bytes in a byte sequence to determine whether the sequence is valid or invalid. In a particular example, results of lookup operations can produce a result in the form of a sequence of bits, where values of the bits can be used to identify that a sequence is invalid, as well a particular type of encoding error. The techniques can be implemented in ways that are particularly efficient for a computing system, such as implementing lookup operations using SIMD (“Single Instruction, Multiple Data”) techniques.

The embodiment of the invention discloses a message transmission method and device, and the method comprises the following steps: carrying out the structure recognition and semantic segmentation of original message data based on a pre-configured partitioning strategy, and generating a plurality of pieces of partitioning data with the structural integrity; generating a metadata record containing a task identifier, a block index, a total block number, a structural hash abstract and a receiving timestamp for each piece of block data; performing data normalization processing on each block of data, wherein the processing comprises the steps of unifying character codes and removing line feed characters and space characters; and sending the data of each block in a transaction mode through a Kafka message queue, and dynamically adjusting the block retry sending time interval and the upper limit of the number of times according to packet loss and delay indexes. According to the embodiment of the invention, the business service can be effectively decoupled, the throughput of the system is remarkably improved, efficient sorting and complete recombination of the block data are realized, and the transmission reliability is further improved.

The invention relates to the technical field of image data processing, in particular to a license plate recognition method and system in a strong backlight environment, and the method comprises the steps: carrying out the graying of a collected image, and obtaining a gray backlight image; extracting a grey level histogram of each image, determining a maximum value point, evaluating a peak value attribute through a grey level difference and a pixel quantity of the maximum value point, and further determining a grey level separation point; performing threshold segmentation on the image, extracting foreground and background regions, calculating a reference value index, and screening out high-quality foreground and background images through threshold judgment; sorting the high-quality images to obtain a retention index, and performing threshold judgment again to determine foreground and background images which are preferentially retained; and the license plates are arranged and combined to form a spliced image, the backlight degree and the edge features of the spliced image are evaluated, finally, the adaptation degree is obtained through sorting, license plate character codes are extracted, a complete license plate number is formed, and license plate recognition under strong backlight is achieved. The invention aims to improve the accuracy of license plate recognition in a backlight environment.

The invention relates to the technical field of privacy data encryption and decryption, and discloses a financial privacy data conformal encryption and decryption method and system, and the method comprises the steps: extracting user information associated with financial privacy data, generating a distortion factor, and carrying out the dynamic key derivation through the distortion factor; performing character coding and data grouping processing on the financial privacy data in combination with the derived dynamic encryption key; encrypting a financial privacy data coding and grouping result by adopting an improved round encryption mode; and adding a check code to the encrypted ciphertext to form a shape-preserving encrypted ciphertext and decrypting the shape-preserving encrypted ciphertext. According to the method, user context information is combined, individuation and dynamic of key derivation are achieved, through format keeping and a multi-round disturbance encryption mechanism, each round of iteration is only exchange, addition and other operations in the round encryption process, the data length and the data range are not changed, conformal encryption and decryption are achieved, and the encryption efficiency is improved. And the structural consistency and the anti-attack capability of the data in the encryption process are ensured, and the data security and the system compatibility are improved.

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.

A watermark embedding method and apparatus, a watermark extraction method and apparatus, and an electronic device and a medium, which belong to the technical field of computers. The watermark embedding method comprises: encrypting and encoding information to be encoded that corresponds to an image to be displayed, so as to obtain an encrypted character code, and splitting the character code into a plurality of sub-codes (S11); on the basis of a preset arrangement rule, respectively determining sub-codes corresponding to a plurality of code regions of said image (S12); on the basis of pixel values of pixel points in any code region and sub-codes corresponding to the code region, determining pixel value variations of the pixel points in the code region (S13); on the basis of the pixel value variations of the code region, adjusting the pixel values of the pixel points in the code region, so as to obtain an adjusted code region (S14); and on the basis of the adjusted code regions of said image, obtaining a watermark image of said image (S15).

The invention discloses an automatic webpage translation method and system, a medium and equipment, and the method comprises the following steps: a language detection step: analyzing character codes, vocabulary distribution and grammar structures of webpage contents through a natural language processing technology, and determining the language type of a webpage; a webpage field detection step: automatically identifying the field type to which the webpage belongs and selecting the translation model of the corresponding field by analyzing the theme, keyword and context of the webpage content; a webpage translation selection step: carrying out full-text translation or self-defined translation selection on the webpage, if the full-text translation is selected, carrying out overall translation on webpage contents, and if the self-defined translation is selected, carrying out cutting and box selection on foreign language contents in the webpage; according to the webpage field detection method and device, through setting of the webpage field detection step, the field type to which the webpage belongs can be automatically recognized, the translation model of the corresponding field can be selected, and therefore the accuracy of webpage translation is improved.

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 relates to a high-efficiency self-adaptive picture character interaction detection method and a high-efficiency self-adaptive picture character interaction detection system. The system comprises two operation modes: a training-free mode: the system uses a pre-trained target detector and a multi-modal model to construct a multi-branch concept-guided character interaction memory module to store specific domain visual knowledge and universal domain semantic knowledge at the same time to complete character interaction detection; in the fine tuning mode, a lightweight adapter based on an attention mechanism is utilized to integrate instance-level priori knowledge for a visual encoder in the model, and meanwhile, knowledge stored in a character interaction memory module is updated to obtain better character encoding features. According to the method, the model without training can complete a character interaction detection task and obtain competitive performance under the condition that only a small number of samples exist, the model in a fine tuning mode can obtain pairwise relation characteristics which are more spatially sensitive, and character interaction relation detection is more accurate.

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 invention provides an electronic document hidden information embedding and detecting method and system. The method comprises the steps that hidden information is signed through a first encryption algorithm, and signed information is spliced; performing symmetric encryption on the hidden information and the signature by using a second encryption algorithm, encoding the data after symmetric encryption, and converting the data into readable characters; and adding character codes before and after the coded data. According to the method, the coded hidden information is embedded in the preset position, the hidden information is carried during content copying, and monitoring and recognition can be carried out. The content containing the hidden information can still be detected after being copied to another document, so that the replicability and effectiveness of the hidden information are effectively improved.

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 field of mobile terminal information security, and provides a hidden data transmission method, system and equipment based on file operation monitoring, which are used for hidden transmission of data to be transmitted in an Android operating system, and the method comprises the following steps: establishing a local hidden channel without network dependence at a sending end and a receiving end; the method comprises the following steps: a sending end specifies an operated file in an external storage space in an Android operating system, codes each character in data to be transmitted into a file operation sequence through a preset adaptive coding table, and operates the file according to the file operation sequence; and a receiving end monitors an operation event performed on the file in real time through the local covert channel, and analyzes and restores the monitored operation event according to the adaptive coding table to obtain data to be transmitted. According to the method, high confidentiality in the data transmission process can be achieved, and even if file operation in the transmission process is captured, malicious individuals cannot decode the file operation again to obtain the data.

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.

To provide a content transmission device and a transmission method capable of using a character content without causing character garbling.SOLUTION: The content transmission device according to one embodiment comprises means which compares a second character coding system which can be corresponded by a client with information of a first character coding system to character data sent by broadcast, inputs coded content data including coded character data by the first character coding system when both of the systems match, and inputs character data within third coded content data obtained by converting the first character coding system to character data conversion means when both of the systems do not match.SELECTED DRAWING: Figure 3

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 present application discloses a text character detection method, device and storage medium, the text character detection method comprising: obtaining a text image to be recognized; performing character recognition on the text image to be recognized to obtain a detection text of multiple characters in an arrangement order; determining whether the detected text is a forward text or an inverted text according to the character encoding information of the characters in a preset character dictionary, and outputting the forward text of the detected text. The present application can realize the determination of the text direction and output the content recognition result of the forward text corresponding to the detected text, and can complete the recognition regardless of whether the multiple characters after the recognition of the text image to be recognized are forward or inverted, thereby realizing the recognition of bidirectional text, expanding the use scenarios of text recognition, and improving the recognition accuracy of text in complex scenarios.

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.

The invention relates to the field of natural language processing, in particular to a software code multi-language real-time translation method based on deep learning. Comprising the steps of obtaining a source code text, segmenting a code into characters, storing the characters into a character matrix, and converting the character matrix into a numerical matrix through a coding mapping table; on the basis of the numerical matrix, using a multi-language code vectorization coding algorithm to generate a character coding vector, and using a multi-language code feature recognition algorithm to calculate and obtain a final language feature value; and generating a context feature embedded value by using a context dynamic association embedding generation algorithm, and generating a translation result of the target language by using a multi-language code translation algorithm. The problem that character coding vectors with stability and differentiation are difficult to generate when characters are processed and compared due to the fact that character sets and coding characteristics of different languages are different is solved. And the characteristic value of the character coding vector matched with the language characteristic possibly fluctuates greatly, so that the instability of the identification result is caused.

A display control chip includes a first memory and a computing circuit. The first memory is configured to store a plurality of character images respectively corresponds to a plurality of characters of a character encoding format. The computing circuit is coupled with the first memory, and is configured to receive first update data generated by encoding input data according to the character encoding format, and is configured to use the first update data to update text data in a second memory. When the computing circuit reads the text data in the second memory, the computing circuit is configured to: search among the plurality of character images to find a plurality of target images corresponding to the text data; and output first display data according to the plurality of target images, in which the first display data is for generating a first display picture including the plurality of target images.

The invention discloses an intersection timing signal control multi-period automatic division method. The method comprises the following steps: processing intersection traffic flow data; calculating the traffic flow of the key lane in the lane group; discretizing the key lane total flow sequence into a character coding sequence; carrying out sampling clustering on the character coding sequence; and performing signal control time interval segmentation and adjustment based on the clustering tag sequence. According to the method, the full-day lane-level five-minute flow of the intersection is checked and repaired, the key lane total flow of the intersection is calculated according to channelization information and selectable constraints, control period division is performed based on the key lane total flow, and a signal timing scheme is more reasonable.