73 results about "String Data." patented technology

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

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 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.

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.

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

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

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.

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.

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.

A system can be used for data integration for strings using multiple techniques and confidence scoring. The system can receive, from a client device, an input string, the input string including at least one text character. The system can compute one or more scores for the input string using one or more respective scoring techniques, in which each score of the one or more scores corresponds to a measure of a similarity between the input string and another string. The system can select a first score of the one or more scores using a predefined criteria, the first score having a corresponding first string. The system can output the first string.

We provide the system. [Solution] A means of human-machine interface for receiving voice input, A natural language processing means that converts received voice input into string data, Information analysis tools for acquiring fraud-related information and analyzing its risk level, Information provision means to provide users with the results of the analysis, An emotional analysis tool that analyzes the user's psychological state and provides appropriate feedback, Educational and training methods to provide simulations and educational content for fraud prevention, A system that includes this.

The invention discloses a data transmission method and device, equipment, a medium and a program product. The method is applied to an application layer of a target platform, and comprises the steps of obtaining at least one piece of basic data information in a data transmission request under the condition that the data transmission request is received; performing serialization processing on the at least one piece of basic data information to obtain character string data information of a preset structure; based on the character string data information, generating message data corresponding to the application layer programming language type; and converting the message data corresponding to the application layer programming language type into message data corresponding to a local service layer programming language type by using a preset first cross-language interface, and sending the message data corresponding to the local service layer programming language type to a local service layer. According to the embodiment of the invention, the data communication capability between the Android platform and the COCOS engine can be improved, and the efficiency and reliability of data transmission are improved.

The invention provides a complex background insulator string directional detection method and system. The method comprises the following steps: S1, obtaining an insulator string data set; s2, constructing a feature pyramid network, and obtaining a target detection network; constructing a preliminary directional detection model according to the feature pyramid network and the target detection network; s3, introducing a modulation deformable convolution function to the initial orientation detection model; s4, designing a space loss function of the preliminary directional detection model; constructing an overall loss function of the preliminary directional detection model according to the space loss function, the classification loss function and the positioning loss function; and S5, carrying out model training on the preliminary directional detection model based on the insulator string data set to obtain an accurate directional detection model, and carrying out complex background insulator string directional detection according to the accurate directional detection model. The method can effectively remove the complex background, avoids the introduction of angle regression errors, and achieves the accurate detection of the insulator string under the complex background.

To provide a technology that can display appropriate text strings in situations where both the voice of a user with a speech impediment and the voice of a user without a speech impediment may be input. [Solution] The computer program causes the computer of the terminal device to function as follows: a supply unit that supplies voice data to a speech recognition engine; an acquisition unit that obtains a string set including first string data and second string data from the speech recognition engine; and a display control unit that causes the display unit to display a string screen containing a string corresponding to at least one of the first string data and the second string data. The first string data is data generated based on a first speech recognition model for a user with a speech disorder, and the second string data is data generated based on a second speech recognition model for a user without a speech disorder.

The application discloses an Unreal Engine-based object data serialization system, an Unreal Engine-based object data deserialization system, an Unreal Engine-based object data serialization method, an Unreal Engine-based object data deserialization method and an Unreal Engine-based object data serialization and deserialization verification method, wherein the Unreal Engine-based object data serialization system comprises a first acquisition module configured to acquire metadata of objects in a scene through a reflection mechanism of an Unreal Engine; and a serialization module configured to assemble class name data in string data of each object and attribute data in string data of the corresponding object to obtain the string data of each object. Through unified object data serialization processing, data optimization and deserialization processing, efficient access and state management of the object are realized.

The invention provides a CAN2.0 data frame real-time priority scheduling method and system, and relates to the technical field of distributed control, and the method comprises the steps: obtaining to-be-sent character string data, extracting a content type identifier and a redundancy feature, executing 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 identifier, calculating a time slot demand quantity and allocating a time slot resource set in combination with the compression ratio predicted value; framing the coded data and constructing an inter-frame priority sequence; inserting the data frames into a sending queue, calculating an effective priority value based on an inter-frame priority sequence and waiting duration to carry out arbitration sorting, and sequentially sending the data frames under the constraint of a time slot resource set; and when the actual framing number is smaller than the pre-estimated value, allocating the saved time slot resources to the target data with the maximum priority aging increment. According to the method, the bus bandwidth utilization rate and the data transmission real-time performance are improved, and the multi-frame scheduling fairness is optimized.

Provide a system. 【Solution means】 An input device that receives voice data or string data, A conversion device that converts the input voice data into string data, A natural language processing device that analyzes the converted string data to identify the intention, A search device that accesses the information system of a medical institution to check available appointment time slots and locations, A user interface that presents the search results and induces a selection, A notification device that finalizes and notifies an appointment based on the selected option, A voice output device that presents the generated options in voice, A system including the above.

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.

A computer-implemented method includes obtaining graph data from a data storage device and storing in a memory string data based on the graph data; the string data includes strings of variable length, each having a unique string value. The method also includes creating a dictionary for the string data; the dictionary comprises a mapping between each string and a unique index. The method further includes storing the dictionary as a data structure separate from the string data. Each string is stored once at a memory location in the memory, and for each of the strings, the index for that string is stored at each instance of that string in the graph data. The index has a size according to a number of unique string values in the string data.

This application discloses a method and system for optimizing the processing of map strings in BIOS configuration files, relating to the field of computer software technology. By dynamically generating map string data, performing compression processing, index building, and configuration file generation, it effectively solves the problems of configuration file size expansion, processing latency, and low retrieval efficiency caused by static storage mode. It can reduce configuration file size, improve processing efficiency, reduce maintenance costs, and optimize system startup speed.

The application discloses a burning data writing method and device. For the data to be burned, the combination of a command string and a data string is used to realize the differentiation of a function mode and data, new functions can be conveniently added or functions can be conveniently modified, meanwhile, the data string corresponding to 8-bit data will correspond to 7-bit program instruction data after being written into a latch, direct acquisition of program instruction data according to the data string can be avoided, the safety of the data is improved, the cost is relatively low, 14-bit program instruction data is used in the application, compared with commonly used 16-bit data, the efficiency of data burning and transmission is improved.

The present application provides a printing system, a printing device, a printing method and a program product capable of reducing the consumption of labels. The printing system has a printing device and an information processing device. The printing device has a conveying unit, a printing unit and a printing control unit. The product area is printed by printing the product image on the label based on a printing task. The information area is printed by printing the character string on the label based on the printing task in a manner that is parallel to the product area in the conveying direction. The information processing device has an information control unit. The printing task includes product image data representing the product image, cutting data representing the cutting frame and character string data representing the character string. The printing control unit or the information control unit determines whether the character string is registered in the cutting frame based on the printing task. In the case that the character string is not registered in the cutting frame, the printing form of the character string is changed in a manner that is registered in the cutting frame.

Even if the document data has not been pre-categorized, the system will determine the similarity between the document data and extract similar document data. [Solution] The system includes: acquisition means for acquiring document data having one or more items; word extraction means for extracting words from string data indicated in the items of the document data; vectorization means for vectorizing each of the string data based on the words in each of the string data; similarity calculation means for calculating the similarity between string data having the same item based on the vectors corresponding to each of the string data; and grouping means for selecting document data that have a direct and indirect linking relationship based on the similarity and a predetermined similarity threshold, and grouping each of the selected combinations with the linking relationship.