119 results about "String Data." patented technology

Some embodiments perform fully unsupervised string error detection and repair, for strings containing both syntactic errors and semantic errors. In some embodiments, string error mitigation includes learning a regular-expression-based pattern that characterizes at least a predefined fraction of a set of string data values, identifying and masking a semantic substring, deriving edits to repair a string which contains the semantic substring, and replacing a mask value with a replacement substring that conforms to the pattern. Some embodiments utilize a language model. Some embodiments include or utilize a pattern learner, one or more learned significant patterns, and a repair engine. Some embodiments exploit program execution information to generate patterns when significant patterns are not initially found.

The invention discloses a character string data read optimization method based on a B + tree and a learning index. A learning index generated based on a machine learning (ML) model focuses on integer data of a fixed size, but is lack of consideration for character strings of variable lengths and is poor in performance in character string data. In order to solve the problem, the invention provides a character string slicing method which can convert a character string with a variable length into an integer with a fixed size for prediction and extract a common prefix from a character string key to reduce a model fitting error. According to the method, the characteristics of character string data are fully considered, complex multi-dimensional linear regression is simplified into one-dimensional linear regression, and the model calculation overhead is reduced. Besides, the invention provides a self-adaptive strategy to select a proper index to manage the calculation cost, the method for dynamically selecting the index nodes can utilize the advantages of the two index types to the maximum extent, and the calculation overhead is effectively reduced while the index efficiency is ensured.

Provided are systems and methods to transform a specified source dataset into a fully defined data format that details every attribute value in all levels for each document or record in the source dataset. According to various embodiments, the systems and methods are configured to execute recursive analysis on a specified data source, build out a fully specified data format and associated meta-data, enable user adjustments to a fully schema, and trigger automatic generation of code to transform the source to the new destination format even in the presence of polymorphic data. The process to scan source data involves recursively evaluating every attribute value in all levels for each document or record in the source dataset to account for any polymorphic data. The scan determines each attribute's data type usage, datetime formats and can interrogate string data to identify objects within string data.

To enable the decoding of data in a variable-length code sequence compressed using entropy coding with low latency.SOLUTION: A decoding device is configured to acquire a predetermined number of bits of data per clock cycle from a variable-length code sequence data encoded using entropy coding, and decode the predetermined number of bits of data per clock cycle using reference information obtained from the multiple predetermined numbers of bits of data.SELECTED DRAWING: Figure 1

Systems and methods for providing an archive of precedents are provided. The archive of precedents includes determining precedent data; parsing a new-event XML file for string data, wherein the string data is related to a new event; generating a vector embedding from the string data; determining a similar embedding in a vector space, wherein the similar embedding is a vector embedding of an instance of precedent data; parsing XML files of the precedent and new event and using parsed data to generate an old-to-new value map; retrieving the corresponding XML file and the corresponding precedent-event document associated with the vector embedding of the instance of precedent data; and providing, as input to a natural language processing model, the list of text strings recovered from the editable form of the document of the precedent event and the old-to-new value map.

An infinite lattice encryption (ILC) can include encrypting an entire, as opposed to individual, or bit-by-bit, encryption of the elements in the field. String data can be converted to high-entropy quantitative data, for example, a two-dimensional vector and encrypted using the described encryption algorithm. The conversion can preserve the collation order of the string if one dimension of the quantitative data is from a sorted set of random numbers. Executables, such as computer programs, can be encrypted using ILC. The computer program can be turned into a graph of operations, where each edge can be replaced, based on a number randomly chosen from an encryption co-domain. The numerical and string data in the graph can be encrypted using the described ILC techniques.

To enable a user to easily correct minutes of a conference by using a machine learning model.SOLUTION: The information processing apparatus 1 includes the acquisition unit 131 that acquires character string data indicating remark contents in a conference, the determination unit 134 that determines, based on the character string data, a first input sentence for causing a machine learning model to generate minutes of the conference including a plurality of items, the display control unit 136 that causes an information terminal to display the minutes generated by inputting the first input sentence to the machine learning model, and the reception unit 133 that receives, at the information terminal, a correction instruction in which each of the plurality of items included in the minutes is associated with a correction content for the item. The determination unit 134 determines, based on the character string data, the minutes, and the correction instruction, a second input sentence for causing the machine learning model to correct the minutes, and the display control unit 136 causes the information terminal to display the minutes corrected by inputting the second input sentence to the machine learning model.SELECTED DRAWING: Figure 2

The invention discloses a character string processing method and system applied to a freight rate search system, and the method comprises the steps: obtaining character strings from freight rate data and freight rate related data of a plurality of data sources, constructing a character array template class based on the character strings, and generating a plurality of template objects, and performing structured processing on the character strings of the plurality of template objects based on the character array template class to obtain a plurality of structured character strings, performing template operation on the character strings of the plurality of template objects based on the character array template class, and returning an operation result. According to the method, the character array template class is used for processing the freight rate data character strings, the fixed-length characters are used for storing each kind of freight rate data, the template parameters are used for specifying the length of each kind of freight rate data, and under character string operation based on the character array template class, the freight rate data are stored. According to the method, the data character string difference among the atpco data source, the third-party data source and the user input request is eliminated, the character string processing speed is increased, the memory overhead is reduced, and the character string data processing performance is remarkably improved.

The invention discloses a multi-type data transmission method and device for industrial digital supervision and a medium, and relates to the technical field of data transmission. The method comprises the steps that multiple types of data are accessed, the multiple types of data are classified according to data types, and the multiple types of data comprise character strings, pictures, documents and video data; based on the data type, selecting a transmission protocol for the classified data, and performing differential encryption; receiving data through a stream batch integrated calculation engine layer, selecting a calculation engine according to a data type, and adaptively storing the data to a corresponding storage medium; and monitoring a transmission full-link state in real time, recording blood relationship information in a transmission process, and linking a supervision service system to trigger a response operation. By means of the method, unified transmission of character strings, pictures, documents and videos in one system is achieved, and the complexity of operation and maintenance of multiple systems is eliminated.

The invention belongs to the technical field of data intelligent processing, and provides an XML format maintenance plan data module rapid compilation method, which comprises the following steps: S1, selecting a maintenance project table recording maintenance plan information for a word file recording maintenance project data; s2, the maintenance item information of each row in the maintenance item table is analyzed in sequence, character data in cells are separated through separators, and the content in the maintenance item table is converted into character string matrixes in sequence; wherein the table line is converted into a line of character string data; s3, according to a conversion rule of the character string matrix, converting each row of character strings into task definition data of an XML format maintenance plan type data module according to the conversion rule; and S4, generating maintenance plan type data module contents meeting standard mode requirements. According to the method, the maintenance plan content is quickly converted into the XML format data module from the source document, the compiling efficiency is improved, and human errors are reduced.

The information processing method of the present embodiment converts voice data into character string data, extracts a first word from the converted character string data and generates question data, extracts a second word from the character string data using the question data including the first word, and outputs the extracted second word, and storing the sound data, the first word, and the second word in association.

This specification provides a data storage method and device for string data. During data storage, for each string in the string dataset to be stored, a pattern dataset is used for pattern matching. Each pattern in the pattern dataset is common string data among multiple strings in the string dataset and is stored in the pattern data storage area of ​​the data storage system. In response to a string containing matching pattern data, proprietary string data (excluding the matching pattern data) is extracted from the string and stored in the proprietary data storage area of ​​the data storage system. An index relationship is formed between the stored proprietary string data and the corresponding pattern data stored in the pattern data storage area. In response to a string not containing matching pattern data, the entire original string data is stored in the proprietary data storage area.

We provide the system. [Solution] A means for receiving input string data, A means for analyzing the aforementioned string data and generating visual data suitable for the string data, Means for adding string information based on the string data to the aforementioned visual data, Means for transmitting the aforementioned visual data and assigned string information to a communication terminal, A system that includes this.

An information processing method, by a processing unit of an information processing apparatus, includes: converting voice data into character string data; generating question data by extracting a first word from the character string data; extracting a second word from the character string data by inputting the character string data and the question data to a trained language learning model configured to output, when the character string data and the question data are input, a word corresponding to an answer to the question data from the character string data; and storing the voice data, the first word, and the second word in association with each other.

The invention relates to the technical field of computer communication, and discloses a file processing method, device and system for a compressed package and electronic device.The file processing method for the compressed package comprises the steps that file data are converted into read-only binary data; converting the read-only binary data into editable binary data by calling a text reading interface of a browser; analyzing the editable binary data to obtain a file directory tree of the compression package; acquiring a first user instruction; converting editable binary data corresponding to the first user instruction into character string data; and obtaining an editable character string text according to the character string data by calling an editor of the browser. By converting the file data in the compressed package into the editable binary data in the browser and then converting the editable binary data into the character string data to obtain the editable character string text, the data processing efficiency of the compressed package file can be improved, and the server cost can be saved.

An information processing method according to the present embodiment includes: converting voice data into character string data; extracting a first word from the character string data obtained by the conversion to generate question data; extracting a second word from the character string data by using question data including a first word; and storing the voice data, the first word, and the second word in association with each other.

The character string expression generation method and device, the model training method and device, the equipment and the medium provided by the embodiment of the invention comprise the steps that text data submitted by a target object is acquired, word segmentation processing is carried out on the text data, and then multiple pieces of word data are obtained, and the word data comprise description data and character string data; encoding the word data to obtain word vector data, one word vector data corresponding to one sequence identifier; feature extraction is conducted on the word vector data, target input hidden state information is obtained, and the target input hidden state information comprises input hidden state information corresponding to the word vector data; and decoding the target input hidden state information to obtain a target character string expression. And the development efficiency of developers is improved.

Provided are systems and methods to transform a specified source dataset into a fully defined data format that details every attribute value in all levels for each document or record in the source dataset. According to various embodiments, the systems and methods are configured to execute recursive analysis on a specified data source, build out a fully specified data format and associated meta-data, enable user adjustments to a fully schema, and trigger automatic generation of code to transform the source to the new destination format even in the presence of polymorphic data. The process to scan source data involves recursively evaluating every attribute value in all levels for each document or record in the source dataset to account for any polymorphic data. The scan determines each attribute's data type usage, datetime formats and can interrogate string data to identify objects within string data.

The application provides a CAN2.0 data frame real-time priority scheduling method and system, relates to the technical field of distributed control, and comprises the following steps: obtaining string data to be sent, extracting content type identification and redundancy characteristics, performing adaptive compression coding, maintaining a historical compression ratio sliding window and calculating a compression ratio prediction value; determining a time slot continuity requirement level according to the content type identification, calculating a time slot demand amount in combination with the compression ratio prediction value and allocating a time slot resource set; framing the coded data and constructing an inter-frame priority sequence; inserting the data frame into a sending queue, calculating an effective priority value based on the inter-frame priority sequence and a waiting time length to perform arbitration sorting, and sequentially sending under the constraint of the time slot resource set; and when the actual framing quantity is less than the estimated value, allocating the saved time slot resources to target data with the largest priority aging increment. The application improves bus bandwidth utilization and data transmission real-time performance, and optimizes multi-frame scheduling fairness.

The application discloses a serial port screen GUI adaptive resolution rendering method and system, and belongs to the technical field of human-computer interaction. The method comprises the following steps: segmenting string data to obtain at least one data segment, and generating a unique sequence identifier; embedding the sequence identifier, the total length of the string data and the effective data length of the current segment in the frame structure of each data segment based on the data frame format limitation of the bus protocol to obtain a data frame carrying segment metadata; sequentially sending the data frame through the bus; dynamically allocating a buffer according to the sequence identifier and the total length information at the receiving end, and recombining each data segment according to the sending order according to the sequence identifier, obtaining display instructions after recombination and performing a rendering operation. Through the segment transmission and metadata identification mechanism, the application breaks through the limitation of the bus protocol on the length of single-frame data, realizes reliable transmission and accurate recombination of large-capacity string data, and improves the stability and adaptability of serial port screen rendering.

To provide a data input method and system that can allow data of a device, such as measurement results and inspection results, to be input easily, accurately, and safely into a network terminal.SOLUTION: A measurement data input system 10 generates a transmission character string obtained by adding an identification character string of a predetermined number of digits, which identifies attributes of measurement data, to a data character string in which measurement data D1 is made to be a character string, connects a code issuing device 2, which generates a data image corresponding to the transmission character string, to a device 1, optically reads the data image to decode it into a transmission character string, extracts the data character string if the transmission character string contains the identification character string, connects a reading terminal 4, which inputs the measurement data, to a terminal 5, and inputs the measurement data into the terminal via the data image.SELECTED DRAWING: Figure 1

A speech recognition apparatus (2000) includes a first model (10) and a second model (20). The first model (10) is learned by training data with an audio frame as input data, and with, as correct answer data, compressed character string data acquired by encoding character string data represented by the audio frame. The second model (20) is a learned decoder (44) acquired by learning an autoencoder (40) being constituted of an encoder (42) converting input character string data into compressed character string data, and the decoder (44) converting, into character string data, the compressed character string data output from the encoder. The speech recognition apparatus (2000) inputs an audio frame to the first model (10), inputs, to the second model (20), compressed character string data output from the first model (10), and thereby generates character string data corresponding to the audio frame.

The invention discloses a data compression and decompression method, a data compression and decompression unit, a mobile terminal, a cloud computing center, a communication method and a communication system, relates to the field of satellite communication, and is used for relieving the satellite transmission pressure. The data compression method is configured in the mobile terminal, LZ77 coding is carried out on data blocks with the length meeting the requirement after segmentation to obtain Literals and a triple sequence, Huffman compression is carried out on the Literals, and FSE compression is carried out on a Huffman compression packet; and performing FSE compression on the triple sequence. And configuring a corresponding data decompression method in the cloud computing center. And the plurality of mobile terminals respectively transmit the compressed data to the cloud computing center for decompression application through satellites. According to the method, the compression rate of the short character string data is improved, the stable compression rate is achieved, the transmission pressure of a satellite can be obviously relieved, and data of a mobile communication coverage blind area can be obtained in time.

To enable a user to easily correct minutes of a conference by using a machine learning model.SOLUTION: The information processing apparatus 1 includes the acquisition unit 131 that acquires character string data indicating remark contents in a conference, the determination unit 134 that determines, based on the character string data, a first input sentence for causing a machine learning model to generate minutes of the conference including a plurality of items, the display control unit 136 that causes an information terminal to display the minutes generated by inputting the first input sentence to the machine learning model, and the reception unit 133 that receives, at the information terminal, a correction instruction in which each of the plurality of items included in the minutes is associated with a correction content for the item. The determination unit 134 determines, based on the character string data, the minutes, and the correction instruction, a second input sentence for causing the machine learning model to correct the minutes, and the display control unit 136 causes the information terminal to display the minutes corrected by inputting the second input sentence to the machine learning model.SELECTED DRAWING: Figure 2

The invention provides a communication system, method and device based on FIDL interface document conversion, and relates to the technical field of communication. Each subsystem in the plurality of subsystems is respectively deployed with an interface document conversion module, the interface document conversion module is configured to convert a predefined FIDL interface document into an interface code under a target language type, the FIDL interface document is separated from a function code, and the target language type is a language type matched with the subsystem; a communication adaptation module is deployed in each subsystem, and the communication adaptation modules are configured to convert communication data into Json character string data when any two subsystems communicate, and transmit the Json character string data according to a WebSocket communication protocol based on interface codes. The method can reduce the workload of code modification and improve the communication efficiency.

Systems, methods, and computer program products are provided for transaction data compression. An example system includes at least one processor configured to: segment transaction data into numerical data, sensitive data, string data, and temporal data; compress, using at least one first compression algorithm, the numerical data into compressed numerical data; compress, using at least one second compression algorithm, the sensitive data into compressed sensitive data; compress, using at least one third compression algorithm, the string data into compressed string data; compress, using at least one fourth compression, the temporal data into compressed temporal data; and at least one of: (i) store, in a data store, the compressed numerical data, the compressed sensitive data, the compressed string data, and the compressed temporal data; and (ii) transmit the compressed numerical data, the compressed sensitive data, the compressed string data, and the compressed temporal data to a transaction processing server, or any combination thereof.

Various aspects of the disclosure relate to automated conversion or transformation of data received from a plurality of sources, and of any format, into forms compatible as input to an application computing system. The data conversion platform identifies a format of an input data file or structure and imports characters, both printable and non-printable, from the input file and stores the imported characters as a string. The data conversion platform generates from the string data to an array of strings based on delimiters or other special characters. The data conversion platform applies a pattern model to the array string to identify patterns of data and stores matches as a second array of strings. The second array of strings is compared to a match file to identify bindings between input data and desired output data. These matches are then formatted as output data and communicated to the desired application for processing.

An electronic device for performing a multiply and accumulate (MAC) operation includes at least one MAC unit, a memory, at least one 8b×8b operator, at least one 8b×4b operator, at least one 4b×4b operator, a bit shifter, an adder, at least one accumulator, and a processor. The processor receives first bit string data and second bit string data which include 12 bits, divides the first bit string data into 4 bits and 8 bits, divides the second bit string data into 4 bits and 8 bits, outputs two 8-bit results corresponding to activation 8-bit, weight 8-bit (A8W8) by using the bit shifter and a first accumulator on the basis of determining to output an A8W8 result, and outputs one 12-bit result corresponding to activation 12-bit, weight 12-bit (A12W12) on the basis of determining to output an A12W12 result.

Example implementations relate to deduplication operations in a storage system. An example includes selecting a comparison window in a first manifest of a deduplication storage system, where the comparison window comprises multiple data units and includes a corrupt string. The example also includes identifying multiple manifests, determining match scores for the manifests based on matching against the comparison window, and identifying multiple repair strings based on the match scores. The example also includes recording the corrupt string and the multiple repair strings in a first entry of a repair string data structure, and repairing the corrupt string in the first manifest using at least one of the multiple repair strings.

Systems and methods for providing an archive of precedents are provided. The archive of precedents includes determining precedent data; parsing a new-event XML file for string data, wherein the string data is related to a new event; generating a vector embedding from the string data; determining a similar embedding in a vector space, wherein the similar embedding is a vector embedding of an instance of precedent data; parsing XML files of the precedent and new event and using parsed data to generate an old-to-new value map; retrieving the corresponding XML file and the corresponding precedent-event document associated with the vector embedding of the instance of precedent data; and providing, as input to a natural language processing model, the list of text strings recovered from the editable form of the document of the precedent event and the old-to-new value map.