44results about How to "Avoid repeated reading" patented technology

The invention discloses an SCD version comparison method based on a standard medium process document. An intelligent transformer substation virtual loop visualizing comparison method is based on a four-layer graph. The method comprises four layers, namely a device, a link, a communication parameter and a virtual loop. Comparison of the virtual loop is efficiently and gradually achieved from top to bottom in an imaging mode. The security, the integrity and the consistency of virtual loop configured information are maximally guaranteed, the inefficient and weak current condition that the virtual loop configuration accuracy is guaranteed by manpower is changed, the safe operation level of an intelligent transformer substation is guaranteed and improved, the system commissioning time is shortened, the system commissioning pressure is lowered, and the maintenance cost in the whole service cycle of the intelligent transformer substation is lowered.

An organization and access method of directory for distributed file system includes applying dynamic expandable Hash technique to organize file system file directory, using Hash list and directory content in two local file systems as Hash list being enabled to expend dynamically and having up limit for Hash value effective bit to realize a serial search method according to width of directory effective bit in order to avoid repeated fetch and missed fetch.

The embodiment of the invention discloses a data processing method and device for a convolutional neural network. The embodiment of the method comprises the following steps that: obtaining the matrixparameter of a characteristic matrix; then, according to the matrix parameter, reading corresponding data in an image data matrix to obtain a data matrix to be expanded; according to the matrix parameter, carrying out data expansion on the matrix to be expanded to obtain expanded data; reading a corresponding quantity of unexpanded data in the image data matrix; and according to the unexpanded data, updating the data matrix to be expanded, and returning to execute the step of expanding the data matrix to be expanded according to the matrix parameter. By use of the scheme, the data processing ability of a convolutional neural network processing system can be improved.

The invention provides an information processing method and device of a socialized media, a visible state hint is provided, and user reading experience is improved. The method includes the steps that content information is received, and a content information queue is generated; state identification corresponding to each content information in the content information queue is determined; a state hint strip is generated, the state hint strip comprises at least two subsections, the corresponding relationship between each subsection and the content information is established, the subsections corresponding to the content information with the same state identification are endowed with the same display attribute for display, and the subsections corresponding to the content information with different state identification are endowed with different display attributes for display. The device comprises a content information receiving module, a state identification determining module and a state hint strip generating module. By the adoption of the information processing method and device of the socialized media, the visible state hint of a flow information list is provided for a user and can help the user read more efficiently, repeated reading is avoided, and reading experience is improved.

The invention relates to a multi-access concentrator used in a gas burning system and a service method therefor. The multi-access concentrator of the invention comprises a microcontroller LPC2114 chip, a serial port UART0, a serial port UART1, a communication interface RS485, a GPRS module and an Ethernet interface; the concentrator realizes communication with a meter and an administration server by the serial port UART0 and the serial port UART1 respectively. The service method of the invention comprises the following steps: system startup task, server command frame analyses task, periodic meter-reading tasks, configuration of basic data of the concentrator and hook function flow in a real-time operation system. The invention features easy configuration, simple operation, convenience and flexibility and stable operation.

The invention discloses a file fragment sorting method and system applied to a file system. The method comprises the steps that offset used for identifying the reading progress of each aggregate file is set in the same aggregate file in advance; read-write request information for a target aggregate file by a first client is acquired; whether other clients perform read-write operation on the target aggregate file currently is judged; if not, a read-write exclusive permission is given to the first client, the offset of the target aggregate file is acquired through the first client, and fragment sorting is performed on the target aggregate file from the position of the offset; and when the first client finishes fragment sorting operation on the target aggregate file, a file length read by the first client is acquired, and the sum of the offset of the target aggregate file and the read file length is calculated to serve as new offset of the target aggregate file to perform offset updating. Through the file fragment sorting method and system, repeated reading of the same source file by multiple clients is avoided, and the fragment sorting efficiency of the aggregate files is improved.

The invention discloses an image data reading method for a video coder, a computer device and a computer readable memory medium. The method comprises the steps that a cache receives an instruction forreading video data, reads compressed image data from an external memory and stores the compressed image data to a compressed image data storage area; the compressed image data is decompressed and then is stored to a decompressed image data storage area of the cache; coordinates of image data are determined according to the instruction for reading the video data, to-be-searched image data is searched from the decompressed image data storage area according to the coordinates of the image data, and after the to-be-searched image data is stored to the decompressed image data storage area, the searched image data is sent to a subordinate data utilization module. According to the method, the computer device and the computer readable memory medium, the bandwidth cost of the memory in an image coding process can be reduced.

The invention relates to a method for importing data into multiple Hadoop components simultaneously, and is characterized in that the method comprises the following steps of (1) extending an import tool of the Sqoop, and adding service for importing data to the Kafka; (2) importing configuration parameters of the components according to a database, and writing parameter verification program; and (3) extending the import tool of the Sqoop, and adding service for simultaneously exporting the data to the HDFS, Hive, Hbase and Kafka. On basis of original functions of connecting the database and reading the data of the Sqoop, the function of simultaneously exporting the data to the multiple components is added, the database data are read for one time, multiple user-specified export modules are started simultaneously, and efficient and convenient data import is achieved. On one hand, multiple export tasks are prevented from being written for the same data, on the other hand, the same data are prevented from being repeatedly read, and therefore efficiency is improved.

The invention discloses an auxiliary reading method and device, and relates to the technical field of mobile terminals. The auxiliary reading method comprises the following steps of: obtaining a currently read document of a user; obtaining a similarity index between the currently read document and a read document of the user; and displaying the similarity index to the user so that the user can judge whether to go on reading the currently read document. Through the method and device, the similarity indexes between the currently read documents of users and documents in a read document library can be analyzed in real time and then displayed to the users, so that the users can judge whether to go on reading the currently read documents, thereby avoiding the user from repeatedly reading similar documents and improving the reading efficiency of the users.

The invention discloses a metadata reading method, device, system and equipment and a readable storage medium of a computer. The method comprises the following steps: receiving a request which is sentby a client and is used for reading metadata of a target file; determining a file related to the target file according to the target file of the request; reading the metadata of the target file and the metadata of the file related to the target file and buffering the metadata into the client. By adopting the method disclosed by the invention, the efficiency of reading the metadata of the file canbe improved and the metadata of a plurality of files is read in one step; a condition that the metadata of the file is repeatedly read can be avoided, the efficiency and performance of reading the file are improved, resources are saved and the efficiency of system operation is improved. Meanwhile, the metadata reading device, system and equipment and the readable storage medium of the computer, disclosed by the invention, also have the same technical effects.

Embodiments of the invention provide a literature content retrieval and recognition method and device. The method comprises the steps: storing and reading a target article by utilizing a distributed calculation engine architecture, carrying out splitting of the target article, and obtaining the statement and vocabulary of the target article; removing invalid vocabularies in statements and vocabularies of the target article by utilizing the word stop library; inputting the statements and the vocabularies without the invalid vocabularies into a pre-generated similarity analysis model in sequence, and extracting all the statements similar to the content of the target statement library in the target article and all the vocabularies similar to the content of the target lexicon in the target article; wherein the target word bank, the stop word bank and the target statement bank are obtained by carrying out word bank division in advance according to expected specific contents; wherein the pre-generated similarity analysis model is generated by utilizing a logistic regression algorithm based on contents in the target statement library and the target word library. Automatic acquisition of literature contents can be realized, a large amount of literature reading work can be handled, repeated reading is avoided, and the workload is reduced.

The invention discloses a method for processing tag data, comprising the following steps: receiving tag information transmitted by an adapter, updating the stored tag data according to the tag information, determining tag state after receiving the tag information, and transmitting the tag of which the tag state is valid to an upper layer for processing. The invention further discloses a device for processing tag data, with the method and device of the invention, burden of processing the data on a system is reduced, and generation of redundant data is avoided.

The invention discloses an information output method and device. A specific embodiment of the method comprises the steps of obtaining a to-be-processed order set pre-stored in a cache; reading the inventory information set from an inventory database for storing the inventory information to a cache; for each order in the order set, determining an article storage position matched with the order andan article inventory matched with the order according to each piece of inventory information stored in the cache; for each order in the order set, if the article inventory corresponding to the articlestorage position matched with the order and stored in the inventory database is not smaller than the article inventory matched with the order, modifying inventory information in an inventory databaseaccording to the article storage position matched with the order and the article inventory matched with the order, and outputting the article storage position matched with the order and the article inventory matched with the order. According to the embodiment, the number of times of reading the inventory database is reduced, and the positioning efficiency is improved.

The embodiment of the invention provides a data paging retrieval method and device, electronic equipment and a storage medium, an index table is established for retrieval data conforming to retrievalconditions in advance, and when paging retrieval needs to be conducted on the retrieval data, only a target index conforming to retrieval parameters needs to be determined according to the retrieval table. The content block read from the data file through the target index is the target content block conforming to the retrieval parameter. During retrieval, only the retrieval parameters need to be matched with the retrieval table, the content blocks do not need to be matched with the retrieval conditions one by one, and repeated reading of the content blocks in the data file is avoided. And in the retrieval process, only the target index conforming to the retrieval parameters needs to be retrieved from the retrieval table, and all retrieval data does not need to be stored in the content, sothat memory overflow is avoided.

The invention discloses a Depthwise fast convolution system based on image processing. The Depthwise fast convolution system comprises an image pixel reading unit and a DW convolution calculation unit. The image pixel reading unit can store an image to be processed into the storage unit in a multi-dimensional form; and the DW convolution calculation unit reads the image data in rows and then performs multiply-accumulate calculation with the convolution kernels of the three rows to obtain calculation results of all pixel points. According to the system, a rapid algorithm of image convolution isrealized, the process of repeatedly reading the image storage unit can be reduced, the calculation space used by convolution is reduced, and the result of image convolution can be rapidly and accurately obtained.

The invention provides a convolution hardware acceleration method and a convolution hardware acceleration circuit. The convolution hardware acceleration method comprises the following steps: segmenting a feature map into a plurality of map blocks; during segmentation, the column width of the segmented image blocks is matched with the number of the MAC operation units, and the row height of the segmented image blocks is the maximum row number which can be accommodated by the internal storage module; reading data required by a block and a corresponding convolution kernel for convolution operation in sequence; extracting the extraction data of the image block and the corresponding convolution kernel in sequence; and performing convolution operation and outputting an operation result to an external storage module. By adopting the convolution hardware acceleration method provided by the invention, a smaller internal cache area can be used for supporting feature maps with any resolution to carry out convolution operation; by adopting the block segmentation mode, the utilization efficiency of the MAC operation unit is relatively high, the reading of boundary data in the vertical direction can be reduced as much as possible, and the convolution operation speed is further improved.

The invention discloses a data processing method and device, a data storage method and device and electronic equipment. The data processing method comprises the following steps of: storing data in a dependency stack, wherein the dependency stack comprises a plurality of layers, execution of data stored at the second layer of the dependency stack depends on an execution result of data stored at thefirst layer of the dependency stack, and same data is only stored in the dependency stack for one time; reading target data stored at the top layer in parallel from the first layer of the dependencystack, executing a processing operation for the target data according to the execution result of reading data from the dependency stack and storing an execution result; and after the data at the firstlayer is read, deleting the data at the original first layer of the dependency stack, and updating the next layer of the original first layer of the dependency stack as the first layer of the dependency stack. Through above scheme, the technical problem that the reading of data with dependency relationships consumes more time in the prior art is solved, and the data reading time is shortened.

The invention provides a convolution operation device, which is used for carrying out convolution operation on an input matrix and a weight matrix, and comprises: horizontal data processing modules, which are used for converting the sequence of row data of the input matrix so as to realize the sharing of the read row data, where one horizontal data processing module is used for processing one row of row data; the vertical data processing module that is used for carrying out multiplication operation on the weight matrix and the matrix data output by the horizontal data processing module, carrying out cross addition operation on a multiplication operation result and carrying out accumulation operation on a cross addition operation result to obtain a convolution operation result of the input matrix, wherein the vertical data processing module comprises a plurality of inputs, and each input is connected to the output of one horizontal data processing module. The invention further provides a convolution operation method, electronic equipment and a computer readable storage medium.

The invention provides a rectangular window variable two-dimensional OS-CFAR detection device and method using center point sorting, and the method comprises the steps: S1, setting a detection window on the basis of a two-dimensional distance Doppler power matrix, and obtaining a column vector in the detection window; s2, performing edge filling on the edge data; s3, generating an ascending order center point sequence by using the current center to-be-detected unit data and the adjacent center to-be-detected unit data detected for multiple times; s4, performing dichotomy insertion comparison on the column vector and the ordered center point sequence to generate a column binary accumulation partial sum of the current column; s5, obtaining the binary accumulation sum of the current window, and judging whether a target exists in a corresponding point of the detection window in the two-dimensional distance Doppler power matrix; and S6, obtaining all detection results of the two-dimensional distance Doppler power matrix, and solving the radial speed and distance of the target. According to the invention, the dynamic configuration of the detection window can be realized, the detection of RDM matrixes of various sizes can be realized, and the method can adapt to wide application scenes and requirements.

The invention provides a data processing method based on a photonic neural network chip and a related device or equipment, and the method comprises the steps: segmenting a to-be-processed image into aplurality of sub-images with different sizes, carrying out the multilayer convolution processing of each sub-image one by one, and determining the size of a buffer corresponding to each sub-image based on the convolution kernel of each layer and an intermediate result; and determining a target buffer size from the plurality of buffer sizes. According to the scheme, the size of the buffer is set to be larger than or equal to the sum of the occupied sizes of the buffers required by the convolution kernel of each layer and the intermediate result, that is, it is ensured that the convolution kernel and the intermediate data of one sub-image can be stored in the buffer at a time during multi-layer convolution, and repeated data reading is avoided. Since the size of the sub-image is smaller than the size of the image before cutting, the smaller the size of the input multi-layer convolution image is, the higher the convolution calculation efficiency is. According to the scheme, the calculation efficiency is improved while the memory reading bandwidth is reduced by adopting a relatively small buffer size.

A tag data processing method is disclosed. The method includes: receiving tag information sent by an adapter, updating the stored tag data according to the tag information, determining a tag state after the tag information has been received, and sending the tag of which the tag state is active to an upper layer for processing. A tag data processing device is also disclosed. By using the method and the device, the burden of data processing is reduced for a system, and the generation of redundant data is avoided.

The invention discloses a data quality analysis system and method.The system comprises a data warehouse, a metadata management module, a rule analysis module, a data collection module, a monitoring task transfer module and a data quality analysis module, and the metadata management module is used for storing rule metadata and data source metadata provided by the data warehouse; the rule metadata comprises a plurality of monitoring rules, each monitoring rule is configured with a corresponding rule attribute, and rule relations are established among the monitoring rules through the rule attributes; the rule analysis module is used for generating rule statements which can be recognized by the rule engine according to the rule metadata; the data acquisition module is used for data source metadata to acquire data source data from a data warehouse; the rule engine is used for registering a monitoring task according to a rule statement and executing the monitoring task on the data of the data source, and the monitoring task executes each monitoring rule on the data of the data source according to a rule relation; and the data quality analysis module is used for performing quality analysis on the data of the data source.

The invention discloses a method for improving the readability of modeling codes of a register model and a storage medium, and the method for improving the readability of the modeling codes of the register model comprises the following steps: creating a UVM register model, deriving a field base class of the UVM register model, and generating subclasses; a series interface method is expanded or newly added in the subclass and used for supporting method calling of enumeration type values; creating an enumeration type variable corresponding to a register field of the preset UVM register model; replacing a field base class with the subclass to reconstruct an example register; and performing read-write access on the register field by using a subclass interface method. According to the method, the readable coding mode of the register field can be improved, repeated browsing of the design document is avoided, the time of design and verification developers is saved, and the working efficiency of the developers is improved.

The invention discloses a report form processing system based on a dynamic domain and a using method of the report form processing system based on the dynamic domain. The system comprises a data storage device, a data processing device, a data generating device, a data managing device, an input and output device and a report form generating device. The data storage device is used for storing data source files of report forms and report form configuration files. The data processing device is used for acquiring the data source files and the report form configuration files from the data storage device and performing field reorganization on the data source files. The data generating device is used for acquiring the report form configuration files and the data source files from the data processing device and performing special field processing and data fractionation on the data source files. The data managing device is used for acquiring the report form configuration files and the data source files from the data generating device. The input and output device is used for receiving a report form inquiring command of a user, sending the command to the report form generating device, receiving band number form samples returned by the report form generating device and showing the band number form samples to the user. The report form generating device is used for acquiring the data source files and the report form configuration files from the data managing device according to the report form inquiring command, generating the band number form samples and transmitting the band number form samples to the input and output device. Therefore, showing efficiency of the report forms is improved.

The application discloses an information output method and device. A specific embodiment of the method includes: obtaining a pending order set pre-stored in the cache; reading the inventory information set from the inventory database for storing inventory information into the cache; for each order in the order set, according to the cache Each inventory information stored in determines the storage location of the item matching the order and the inventory quantity of the item matching the order; for each order in the order set, if the storage location of the item matching the order stored in the inventory database corresponds to If the inventory of the item is not less than the inventory of the item matching the order, modify the inventory information in the inventory database according to the storage location of the item matching the order and the inventory of the item matching the order, and output the storage of the item matching the order The location and stock availability of items matching this order. This embodiment reduces the times of reading the inventory database and improves the positioning efficiency.