22 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 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 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.

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 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.

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 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.

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 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.

A new approach is proposed to support robust natural language classification under character encoding. A plurality of images that represent a plurality of characters under various language encoding schemes for a target language character are accepted and utilized to create a distribution of text similarity probabilities for the plurality of characters likely to be swapped / replaced / substituted with the target language character to trick a human user. The distribution of text similarity probabilities is then applied against a true text corpus comprising a set of real / actual texts to generate a synthetic text corpus that further includes a set of characters being swapped with one or more of the plurality of characters based on the distribution of text similarity probabilities. The synthetic text corpus is then utilized to train one or more NLP models, which are then utilized to correctly classify and recognize an incoming electronic message that contains a character swap attack.

A system and a method for unstructured synthetic data generation is disclosed. The system a processor, and memory with instructions to: The system includes a processor. A memory coupled to the processor comprises instructions causing reception of real-time input data from sources, the input comprising textual / non- textual data; analyse structure to select encoding per modality; encode textual data via tokenization, embeddings or character encoding and non-textual data via normalization, one-hot or scaling to produce encoded data; segregate encoded textual, numerical and categorical portions into groups; train and fine-tune transformer on the encoded data using metrics; generate conditional textual data from contextual cues; combine modalities by aligning formats to produce unified dataset; process the unified dataset to preserve textual semantics and statistical compatibility; and output the unified dataset as a fusion retaining semantic integrity and statistical fidelity.

The application discloses a self-powered wireless optical communication sensor positioning method and system for a mariculture, and the method comprises the following steps: character coding is performed on each LED light source in the mariculture to generate a unique optical identification code; a dimming symbol is inserted into the optical identification code to adjust the light intensity of the LED light source; the code word after the dimming symbol is inserted is interleaved and coded to optimize the optical communication performance; the interleaved and coded signal is converted into multiple positioning carrier frequencies in a Manchester coding format, and a cell is formed; a photovoltaic device is used to convert the LED light signal into an electrical signal, the electrical signal is received, and light energy is collected; Fourier transform is performed on the received electrical signal, a frequency up-conversion signal of each frequency is obtained through a band-pass filter, and the optical identification code is decoded to locate the corresponding cell; a multi-order regression model is used to iteratively train the position in the cell, and the position coordinates of the underwater sensor are determined according to the high-precision model.

Sensor calibration target (500) for sensor calibration of at least one sensor relative to a common reference frame, wherein the sensor calibration target (500) has: a first surface (502) at a first predefined depth, which has a first set of characters (520-1) at respective first heights and each has first predefined displacements, wherein each of the first characters (520-1) encodes a corresponding first height; and a second surface (504) at a second predefined depth, which has a second set of characters (520-2) at respective second heights and each has second predefined offsets, wherein each of the second characters (520-2) encodes a corresponding second height; wherein the sensor calibration target (500) is associated with a position of a mobile automation device (103) in the common reference frame, wherein the mobile automation device (103) comprises the at least one sensor, wherein the at least one sensor is configured to determine the position of the mobile automation device (103) based on at least one of a position and orientation of the at least one sensor relative to the first and second characters.

The application discloses a method for retrieving a guqin score text. The computer storage code of the guqin score text comprises a plurality of score character encodings, which are used to generate digital contours of score characters. The score character encodings comprise a plurality of element encodings connected by a connector, and each element encoding represents a fingering or a combination of fingerings. An input string representing one or more fingerings or combinations of fingerings is identified, and a target digital contour encoding is generated, which is used to generate a digital contour of the one or more fingerings or combinations of fingerings. The target digital contour encoding is compared with the computer storage code of the guqin score text, and score character encodings containing the target digital contour encoding are found. The application also comprises a device for implementing the method. The application solves the problems of difficult input and editing and difficulty in retrieval of score characters in the prior art.

This invention discloses a model training method and apparatus. The method involves encoding a first sample, a second sample, and a third sample using an original encoding model to obtain first, second, and third encoding results. The second encoding result is then randomly shuffled in both the character position and character encoding dimensions to obtain a fourth encoding result. The first and third encoding results are used to construct negative sample pairs, and the first and fourth encoding results are used to construct positive sample pairs. All positive and negative sample pairs are obtained by applying the above method to all sentences in the text to be trained. Based on these positive and negative sample pairs, a contrastive learning method is used to calculate the loss to optimize the original encoding model. This invention can optimize the original encoding model to achieve the technical effect of recommending similar texts with high accuracy even when content specifications are inconsistent across multiple platforms or when text tags are missing.

The application discloses a continuous word spelling method based on steady-state visual evoked potentials, and mainly solves the problems of low feature extraction efficiency and discontinuous spelling in the prior art.The implementation scheme is as follows: all characters in a stimulation interface are coded by using a joint frequency phase modulation paradigm; a user gazes at the characters in the stimulation interface to induce steady-state visual evoked potentials, and training signals and test signals are obtained; model parameters of a reconstructed template signal are acquired by using the training signals; steady-state visual evoked potential signals of all gaze stages in the test signals are intercepted; feature extraction and identification are performed on the steady-state visual evoked potential signal segments of all gaze stages by using the template signal; and character sequences in the identification results are combined into words to complete continuous word spelling input.The application improves the feature extraction efficiency and identification accuracy of the steady-state visual evoked potential signals, improves the continuity of spelling and the information transmission rate, and can be used for word spelling in a human-computer interaction process.

To provide a content transmission device and a transmission method capable of using character content without garbling characters.SOLUTION: A content transmission method comprising the steps of: receiving first encoded content and first content associated information, the first encoded content and the first content associated information being obtained by encoding content including at least text data obtained by processing a broadcast signal broadcast by a MPEG2 transport stream method; outputting second encoded content and second content associated information, the first encoded content and the first content associated information being obtained by encoding the content; and analyzing the second content associated information to extract information on a text encoding method used in the second encoded content; The second encoded contents data and the information of the character encoding system are transmitted to the outside.SELECTED DRAWING: Figure 3

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.