37 results about "String Data." patented technology

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.

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.

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 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.

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 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.

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.

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.

The present disclosure provides a system for semantic analysis and automatic solution of a mathematical application problem. The system includes: a semantic framework mode matching module, configured to: perform mode matching on a clause vocabulary sequence with a semantic framework, to form local semantic information of the mathematical application problem; a scenario semantic analysis module, configured to: form, based on a local feature vocabulary string of a scenario, a global semantic feature vocabulary string of the scenario; a data meta-variable naming module, configured to: generate a global semantic name of a data meta-variable based on a local name of a variable; a module for explicitly expressing a computation relationship, configured to: explicitly express an explicit computation rule and an implicit computation rule between data meta-variables, to construct a dynamic semantic circle; and a module for implementing a machine thinking mechanism, configured to solve the questionable data meta-variable.

To make it easier for users to understand what factors are causing the text to be ambiguous. [Solution] The system includes an acquisition unit 141 that acquires target string data containing the target string to be checked for ambiguity, an acceptance unit 142 that accepts the specification of a threshold for determining whether or not the target string is ambiguous for each of the multiple types of ambiguity, an identification unit 143 that identifies the degree of ambiguity of the target string for each of the multiple types, and an output unit 145 that outputs information indicating that the target string is ambiguous for types where the degree of ambiguity is above the threshold.

A document data processing device according to an exemplary aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: acquire document data including one or more items; extract a word from character string data indicated in each of the items of the document data; vectorize each of pieces of the character string data based on the word for each of the pieces of the character string data; calculate similarity between the pieces of the character string data having the same item, based on a vector associated with each of the pieces of the character string data; select a combination of the document data having a coupling relationship based on the similarity and a predetermined similarity threshold; and group, into a group, the selected combination having the coupling relationship.

This application discloses a method, apparatus, device, medium, and product for constructing a three-dimensional grid, relating to the field of data processing technology. The method includes acquiring line string data of a target object corresponding to a grid to be constructed, wherein the line string data includes line string data of a first open line string and a second open line string of the grid to be constructed; based on the line string data, marking the first open line string and the second open line string as a reference line string and a target line string, respectively; dividing the target line string into convex segments and non-convex segments based on the line string data; constructing a non-convex segment grid and a convex segment grid based on the convex segments, non-convex segments, and the reference line string; and determining the target grid based on the convex segment grid and the non-convex segment grid. This application solves the technical problem in the prior art that it lacks adaptability when constructing grids for lines with large morphological changes in different regions of the line string, resulting in grids that do not conform to visual perception.

A monocular camera augmented reality gesture interaction method based on key point detection, which is composed of the steps of obtaining an input image, detecting hand key point coordinates, determining string data, transmitting string data S, constructing a virtual hand model, storing string data S, virtual hand movement, triggering augmented reality gesture interaction, and performance evaluation. Since the application adopts the steps of determining string data, storing string data S, virtual hand movement, triggering augmented reality gesture interaction, and using a hand key point detection network, the network is applied to the monocular camera gesture tracking and recognition of augmented reality, effectively filters the features of the current frame hand, and standardizes the tracked hand key point information, so that the data is more standardized and convenient for driving the movement of the virtual world hand, and the real-time performance is high. The application has the advantages of higher real-time performance, stronger immersion, lower device cost, etc., and can perform gesture tracking and recognition in different backgrounds.

A data file encryption transmission / reception system includes a computer with a registration module that encrypts input data files. The registration module includes a string conversion module that configured to convert the data file to be encrypted to string data, a key generation module that configured to generate a common key, and to divide the common key and the string data into first input information and second input information, a common key encryption module is configured to encrypt the first input information with the common key, to thereby generate common key encrypted data, a searchable encryption module that configured to encrypt the second input information in accordance with searchable encryption with a user secret key set in advance, to thereby generate searchable encrypted data and a communication module is configured to register a set of the common key encrypted data and the searchable encrypted data in the data management server.

A system is provided.SOLUTION: A system comprising: means for processing user input using a generative model; means for receiving speech input from a user and converting the speech input to string data; means for sending the string data to the generative model and obtaining a generated response; and means for converting the obtained response to speech and presenting the speech to the user.SELECTED DRAWING: Figure 1

The application discloses a string length function segmentation optimization method and a storage medium thereof. The method comprises the following steps: S10, loading a string without boundary according to a first address of the string; S11, removing irrelevant data interference before the first address of the string; S12, performing boundary processing on the first address of the string; S13, searching for an end symbol of the string after the boundary processing, and if the end symbol is not found, searching for the end symbol of the string repeatedly, and if the end symbol is found, performing tail processing; and calculating the length of the string. The string length function realized by the optimization method increases the amount of data processed at a time, simplifies the number of instructions, and especially in the case of large input string data, the advantages of the vector instruction set are fully utilized to realize the function of calculating the length of the string, so that the function performance is improved.

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.

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 invention 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 character string data to obtain at least one data segment, and generating a unique sequence identifier; based on the data frame format limitation of a bus protocol, embedding a sequence identifier, the total length of character string data and the effective data length of the current segment in the frame structure of each data segment to obtain a data frame carrying segment metadata; sequentially sending the data frames through a bus; and the receiving end dynamically allocates a buffer area according to the sequence identifier and the total length information, recombines the data segments according to the sequence identifier and a sending sequence, analyzes the data segments after recombining to obtain a display instruction, and executes rendering operation. According to the method, through a segmented transmission and metadata identification mechanism, the limitation of a bus protocol on the length of single-frame data is broken through, reliable transmission and accurate recombination of large-capacity character string data are realized, and the stability and adaptability of serial port screen rendering are improved.

The present disclosure provides an encoding method and device. The method comprises: obtaining to-be-encoded data; storing each basic type field in the to-be-encoded data in a basic type storage area in sequence according to the order of the to-be-encoded data, wherein each basic type field is stored according to the actual byte length of the respective type; for each row in the to-be-encoded data, storing the address of the string data of each string field in the current row in a string address storage area in sequence according to the order of the corresponding string field in the current row, wherein each address of the string data is stored according to the actual byte length of the respective address, and the string address storage area is located after the basic type storage area; and taking the to-be-encoded data after the storage as encoded data.