294 results about "Data efficiency" patented technology

The invention discloses a three-dimensional city modeling method based on BIM and GIS, comprising the following steps: data measurement, data processing, establishing BIM model, establishing three-dimensional GIS model, model fusion, municipal simulation, element separation and optimization, model rendering and display; through BIM, the precise height of the building can be easily obtained, appearance size and interior space information, thus through combining BIM and GIS, buildings are modeled first, and then the architectural spatial information is shared with the surrounding geographic environment, and applied to urban 3D GIS analysis, so that the cost of building spatial information can be reduced. At that same time, after the data is collected, point cloud and aerial photograph data are calculated and simulated by data classification comparison, so that the elevation information of the ground object is perfect, the elevation precision of the building model is high, and the roof ismore fine. The invention does not need a large amount of manual interaction modeling, and the data are collected by the unmanned aerial vehicle and the unmanned vehicle, and the efficiency is high, the production period is short, and the timeliness is strong.

A method and system to evaluate data efficacy across an enterprise is disclosed. The method includes the step of indexing a set of data sources that include at least one of structured and unstructured data artifacts. The method further includes accessing the indexing on the one or more data sources with a computer. The method further includes the step of generating a plurality of analytics about the data sources based on the indexing, wherein the analytics include a plurality of: a document originality analytic, a corpus storage volume analytic, a data source ingest analytic, a document type analytic, and an analysis analytic. The method further includes displaying, on a display device, an interactive visualization of results based on the analytics, wherein the visualization comprises at least one of: a histogram, a graph, a timeline, a panel, a list, a chart, a popup, and a table.

A Low-power flash-memory device uses a modified Universal-Serial-Bus (USB) 3.0 Protocol to reduce power consumption. The bit clock is slowed to reduce power and the need for pre-emphasis when USB cable lengths are short in applications. Data efficiency is improved by eliminating the 8 / 10-bit encoder and instead encoding sync and framing bytes as 9-bit symbols. Data bytes are expanded by bit stuffing only when a series of six ones occurs in the data. Header and payload data is transmitted as nearly 8-bits per data byte while framing is 9-bits per symbol, much less than the standard 10 bits per byte. Low-power link layers, physical layers, and scaled-down protocol layers are used. A card reader converter hub allows USB hosts to access low-power USB devices. Only one flash device is accessed, reducing power compared with standard USB broadcasting to multiple devices.

The invention relates to a method for restraining intercell interference. In the method, user equipment determines interfered cells and informs an access cell base station according to the reference signal intensity of an adjacent base station in a set period; the access cell base station vacates a time-frequency resource block position corresponding to the reference signals of the interfered cells according to the data transmission condition of the interfered cells and sends data to the user equipment; the user equipment detects the reference signals of the interfered cells and estimates channel state information between an interfered cell base station and the user equipment; and the intercell interference is restrained by adopting an interference restraining algorithm according to the channel state information. By using the method, the channel state information from the interfered base station to the user equipment can be easily obtained under the condition that the interference signal is unknown, thereby the interference restraining algorithm is applied to improve the quality of signals received by the cell edge, reduce the influence of adjacent cell interference, improve the data efficiency of the cell edge and further improve the performance of the system.

The invention discloses a monitoring device and a method for crop growth uniformity degree, aiming at the problem of low efficiency for manually investigating data. The device comprises a remote sensing image processing module, a plot vector data processing module, a vegetation index processing module and a growth uniformity processing module. The method comprises: obtaining the remote sensing images of a satellite; carrying out radiometric ratification, atmospheric correction and geometric correction according to the remote sensing images of the satellite; classifying crops in the remote sensing images of a satellite to obtain a spatial distribution map; converting a grid classification result in the spatial distribution map into facet vector data; processing the spatial distribution map to correct the plot boundary of the crops; according to the spectral characteristics of the plot in the remote sensing image, calculating the vegetation index of the plot; and calculating the growth uniformity degree index according to the vegetation index of each plot. The invention uses the integration of the grid and the vector data to monitor the growth uniformity degree of crops in natural plots and performs the advantages of remote sensing data.

The invention discloses a service data monitoring method and device, a terminal device and a storage medium. The service data monitoring method comprises the steps that multi-dimensional service datain a big data platform is acquired, and a monitoring strategy configured by a user is acquired, wherein the monitoring strategy comprises at least one monitoring index and at least one monitoring dimension; target service data is acquired from the multi-dimensional service data on the basis of the monitoring dimensions, and whether all the target service data conforms to the monitoring indexes ornot is judged; if the target service data does not completely conform to the monitoring indexes, it is determined that the target service data is abnormal data, and a monitoring result is obtained. When the service data monitoring method is used for service data monitoring, the effects that the service data monitoring efficiency is higher and service data monitoring results are more comprehensivecan be achieved.

The invention discloses an OLAP (on-line analytical processing) data storage and query method based on Hadoop. For the data storage, firstly, a new column file storage format HCFile (Hadoop column file) is defined, and then, a datasheet storage method based on the HCFile is given. In the scheme, when a column of data is read, only a plurality of HCFile needs to be read, the visit to other columns of data is not needed, and the I / O (input / output) efficiency is greatly improved than that of the storage according to lines; and meanwhile, when one column of data is added, only new files need to be added, and the extension is very easy. For the aggregation computation, firstly, the data index based on the inverted structure is created, then, MapReduce is utilized for realizing the basic aggregation computation of the OLAP, the basic aggregation computation comprises summation, maximum / minimum value computation, counting and the like, other aggregation computation can be realized by the basic aggregation computation, and the aggregation computation performance is obviously improved through the efficient data index. Compared with the prior art, the OLAP data storage and query method has the advantages that the data storage and query efficiency is effectively improved, in addition, hardware resources are saved, the time and the hardware cost are reduced, and meanwhile, the application is more convenient and flexible.

Network performance related to the evaluation of an interference reduction scheme may include measuring a signal strength value for a signal sent by at least one base station and received by a plurality of user equipment, calculating first signal strength ratios using the first signal strength value, converting the first signal strength ratio into first user equipment spectral efficiency values for each user equipment of the plurality of user equipment, and comparing the first spectral efficiency value to a second spectral efficiency value to evaluate a data efficiency metric associated with an interference reduction scheme that is running on the base station when the signal strength value is measured.

The embodiment of the invention discloses a streaming media live system based on a content delivery network (CDN), which is used for solving the problems that the efficiency of transmitting streaming media data to a user by the CDN is low and the service quality can not be ensured in the prior art; the system comprises: a CND service node for providing the streaming media data for a client, maintaining the information of an on-line client and responding to an acquiring request of the information; at least one client for acquiring the streaming media data from the CDN service node and / or acquiring the information of the on-line client from the CDN service node and the streaming media data from the on-line client and providing the streaming media data to respond to the requests of other clients. The embodiment of the invention also discloses a streaming media live method based on the CDN and a device thereof. The invention is adopted to greatly improve the efficiency of transmitting the streaming media data to the user and the service quality by the CDN.

The invention discloses a data inquiring method and device. The data inquiring method includes receiving an inquiring instruction which is an instruction used for indicating inquiry of data from a preset database in which multidimensional data are stored, wherein the multidimensional data are stored in a data table in the preset database, the inquiring instruction includes a first dimension and a second dimension which are any two different dimensions in multiple dimensions; acquiring the first dimension and the second dimension from the inquiring instruction; inquiring data corresponding to the first dimension and the second dimension from the preset database; displaying the data acquired by inquiring and corresponding to the first dimension and the second dimension. By the data inquiring method, the problem of low efficiency in inquiring multidimensionally related data is solved, so that effect of improving effect of inquiring the multidimensionally related data is realized.

The invention discloses a data processing system based on a block chain. The system comprises: an infrastructure layer consisting of a portal, a client and N servers based on peer-to-peer network communication. Each server establishes an initial block of a block chain and maintains a block chain. A processing layer is used for realizing the data interaction and processing between the system application layer and the infrastructure layer. The layer comprises a data uploading module, a single block verification module, a data query module, and each server of the infrastructure layer in the periodic block chain verification module periodically verifies the correctness of the self-maintained block chain. The application layer is used for calling the module of the processing layer according tothe request of the user, and realizing the access control in this layer. By utilizing the embodiment of the invention, the system query data efficiency and the resource utilization ratio are higher than those of other block chain processing systems.

The present invention discloses a data extraction method and apparatus, relates to the field of data processing, and solves the problem that the efficiency for manually extracting data is low. The method comprises: pre-processing the data to acquire first data in the front and second data in the back; calculating the similarity between the first data and the second data; if the similarity between the first data and the second data meets a preset similarity threshold value, deleting the second data in the back; and keeping the first data in the front to obtain summary information. The data extraction method and apparatus are suitable for being applied to a process of extracting a large amount of festival data with different formats.

A Low-power flash-memory device uses a modified Universal-Serial-Bus (USB) 3.0 Protocol to reduce power consumption. The bit clock is slowed to reduce power and the need for pre-emphasis when USB cable lengths are short in applications. Data efficiency is improved by eliminating the 8 / 10-bit encoder and instead encoding sync and framing bytes as 9-bit symbols. Data bytes are expanded by bit stuffing only when a series of six ones occurs in the data. Header and payload data is transmitted as nearly 8-bits per data byte while framing is 9-bits per symbol, much less than the standard 10 bits per byte. Low-power link layers, physical layers, and scaled-down protocol layers are used. A card reader converter hub allows USB hosts to access low-power USB devices. Only one flash device is accessed, reducing power compared with standard USB broadcasting to multiple devices.

The invention provides a data training method and device, a storage medium and an electronic device, and the method comprises the steps: determining sample data and available cluster resources; splitting the total training model into a plurality of sub-models; and training the sample data in parallel on the plurality of sub-models by using the cluster resources. According to the invention, the technical problem of too low training sample data efficiency in the prior art is solved.

The invention provides multilanguage-supporting data conversion equipment and a bank transaction system. The equipment comprises: an uplink data receiving device for receiving transaction request data; a transaction version comparison device for comparing a transaction language source file version identifier and a prestored file version identifier; a downlink data transmitting device for transmitting file data to a terminal client; an uplink data conversion device for converting transaction request data conversion code and parameter format; an uplink data transmitting device for transmitting transaction request data to a system host computer; a downlink data receiving device for receiving transaction result data; a downlink data conversion device for converting the system host computer parameter format of the transaction result data into the parameter format and code of a transaction area; and a downlink data transmitting device for transmitting the transaction result data subjected to data conversion to the client. The equipment and the system solve the problems on the generality, safety, data rate and system cost of domestic and overseas transaction systems of banks.

The invention relates to a method, a storage subsystem and system for improving data writing efficiency. When writing data, if a predetermined N number of data or fewer than the predetermined N number of data are yet written after waiting a specific time period, the data writing I / O request is regarded as completed. The corresponding resources are then released. The N number of yet written data and the related writing information are stored in a non-volatile memory (NVRAM), so that when there is a sudden power cut or power failure happens that interrupts the data writing, the process can be resumed after the power supply is turned back on.

The present invention discloses memory controller and control method, referring to storage technology in IP network equipment. It contains command resolving and initializing module, address and control interface module, read-write data path module and read-write data interface module, which are respectively interconnected between user application layer and memory; time division multiplexing control module connected with command resolving and initializing module; first in first out data processing module connected with read-write data path module. The present invention adopts time division multiplexing principle, dividing each time slice into number of time slot, distributing each memory block read write operation to relevant time slot, and ensuring twice consecutive access time interval to same memory block greater than or equal to tRC time, raising memory read-write data efficiency. The present invention processes data in memory according to first in first out mode, raising memory interface data access efficiency.

The invention discloses a method for rapidly processing a large-area three-dimensional seismic data body, relating to the technical field of seismic exploration data processing and interpretation. The method comprises seismic data pre-stack stage processing, seismic data stack stage processing and seismic data pre-stack time migration stage processing. The seismic data pre-stack stage processing comprises the following steps of: subdividing pre-stack data into a plurality of processing units; and realizing surface consistent amplitude and convolution processing in the event of processing the plurality of subdivided processing units. The seismic data stack stage processing comprises the following steps of: extracting a CMP (Common Middle Point) trace gather; stacking subdivision dynamic correction; and processing residual static correction. The seismic data pre-stack time migration stage processing comprises the following steps of: according to offset requirements and available resources, selecting an offset distance; blocking data; calculating nodes; and, defining and operating the nodes and I / O (Input / Output) resources. According to the method, the node resources can be effectively utilized; the data I / O efficiency is improved; the node idleness ratio is reduced maximally; and the efficiency for processing large-area three-dimensional seismic data can be multiplied.

The invention discloses an online table editing method and device, a computer device and a storage medium, and the method comprises the steps of carrying out the identity verification of a user according to the user identification information contained in a login request if the login request sent by a client is received, and obtaining a user group to which the user belongs according to the resultof the identity verification; sending a form editing page corresponding to the user group to the client; receiving the data in the form editing page at a first preset time interval, and storing the data in a storage platform which is used for storing the data edited by the user; receiving a data submission request sent by the client, and obtaining data submission identification information contained in the data submission request; and storing the data in the form editing page into a database corresponding to the data submission identification information, the database being used for storing the data submitted by the user. According to the technical scheme, the problems that the compatibility of the spreadsheet is poor and the efficiency of extracting the data in the spreadsheet is low, aresolved.

The embodiment of the invention relates to the field of data processing, in particular to a data processing method and device, and is used for solving the problems that in the prior art, physical nodes are added in a cluster during capacity expansion, data migration in the cluster is caused, and then the data storage and reading efficiency of a user is improved. In the embodiment of the invention,the method is suitable for a distributed storage system, the distributed storage system comprises a plurality of clusters, and each cluster belongs to at least one virtual group; The method comprisesthe steps of obtaining a user identifier to which to-be-stored data belongs; Determining a virtual group for storing the to-be-stored data according to the user identifier of the to-be-stored data; Determining a target storage cluster for storing the to-be-stored data according to a storage rule of the virtual group of the to-be-stored data, Wherein the target storage cluster is one of the plurality of clusters; And storing the to-be-stored data into the target storage cluster. According to the embodiment of the invention, the capacity expansion or reduction is realized by adding or deletingthe cluster in the virtual group, so that the data migration caused by adding or deleting the nodes in the cluster is avoided.

The goal of the present invention is to improve the useful data efficiency and reliability in the use of commercially available ETHERNET controllers, in a distributed real time computer system, by a number of node computers communicating via one or more communication channels by means of TT ETHERNET messages. To achieve this goal, a distinction is made between the node computer send time (KNSZPKT) and the network send time (NWSZPKT) of a message. The KNSZPKT must wait for the NWSZPKT, so that under all circumstances, the start of the message has arrived in the TT star coupler at the NWSZPKT, interpreted by the clock in the TT star coupler. The TT star coupler is modified, so that a message arriving from a node computer is delayed in an intelligent port of the TT star coupler until the NWSZPKT can send it precisely at the NWSZPKT into the TT network.

In general, the cache structure overcomes the deficiency of wasted tag space and reduces associativity. The method provides for storing a single tag along with a pointer to the actual data which is stored in a separate array which includes several lines. Each data block may have a variable length and occupy several lines. These lines are linked together to form a linked list. An invalidation mechanism allows invalidation of lines of the same data block, increasing data efficiency.

The invention relates to a traffic condition prediction method, electronic equipment and a storage medium, and belongs to the field of artificial intelligence. The traffic condition prediction method comprises the steps of obtaining time sequence traffic data collected by an ETC portal system, carrying out the data preprocessing of the time sequence traffic data, and obtaining time sequence traffic features; writing the time sequence traffic characteristics into a big data platform through Spark Streaming; using spark Jar on a big data platform for reading time sequence traffic characteristics, and training a flow model and a speed model through an expansion causal convolutional neural network algorithm; and predicting the traffic flow and the vehicle speed based on the trained flow model and speed model. According to the embodiment of the invention, the collected vehicle data is comprehensive, and the accuracy of traffic condition prediction can be improved; a distributed data processing technology is applied, so that the real-time performance of the data can be improved, a large amount of data can be quickly processed, and the efficiency is high; and an expansion causal convolutional neural network algorithm is adopted, so that resources can be saved, and the training speed is increased.

The invention discloses a rapid dubbing generation method and device. The method comprises the following steps: constructing a dubbing generation framework including a loudspeaker encoder, a synthesizer and a vocoder, using the loudspeaker encoder for extracting embedded information from a short speech of a single speaker, using the synthesizer for generating a spectrogram from a text according tothe embedded information, and using the vocoder for inferring and outputting an audio waveform according to the spectrogram; training the dubbing generation framework in an end-to-end mode to obtaina trained dubbing generation framework model; and inputting a reference voice and a text into the trained dubbing generation framework model to realize rapid dubbing generation. The problems that theexisting text-to-speech model does not have the ability of generating speech by using any sound and is low in data efficiency are solved.

The invention provides a data mining method and a system. The data mining method comprises: obtaining a plurality of program scripts corresponding to various data mining sub-procedures, wherein one data mining sub-procedure comprises at least one program script, each program script is provided with one corresponding scrip mark, and the script mark is used for indicating the data mining sub-procedure corresponding to the program script, wherein the program script belongs to the data mining sub-procedure; obtaining a plurality of script marks corresponding to the plurality of program scripts; determining calling sequence of the plurality of program scripts corresponding to the plurality of script marks according to the execution sequence of various data mining sub-procedures; calling the plurality of program scripts according to the determined calling sequence and performing data mining. According to the invention, the correctness of a data mining result is guaranteed, the data mining efficiency is improved, and the data mining cost is saved.

The invention discloses a data searching method and device, electronic equipment and a medium. After at least one data query instruction is received, target data can be searched for based on a first index generated by a high-popularity data, and the high-popularity data is storage data meeting a first matching condition which is generated within the first preset time period and has the query frequency exceeding the first preset threshold value. According to the technical scheme, when it is detected that the user queries the target data in a search server, index search can be preferentially carried out in the high-popularity data in the server. Therefore, the problem that the efficiency of searching the target data is low when massive data of the server is searched in the prior art can be avoided.

The invention provides a spread spectrum communication method based on PN code serial and parallel combined connection. PN codes are connected in series firstly and then are connected in parallel, and two sections of shorter codes can be used for replacing the previous single section of long code; the two sections of shorter codes are used for improved parallel combined spread spectrum communication; the communication transmitted data efficiency is designed according to the serial number corresponding relationship of PN code serial and parallel combined connection, and the performances of effectiveness and reliability of the integral communication are good, and are superior to the conventional parallel combined spread spectrum communication..

Detector efficiency data is generated for a positron emission tomography scanner (2) including a single photon source by conducting a blank scan acquisition procedure using the single photon source. The acquired detection count data is processed using an efficiency estimation algorithm to calculate data efficiencies of individual detectors in the detector array (8). In one embodiment, the detection count data is output as artificial coincidence count data and the efficiency estimation algorithm operates on the artificial coincidence count data. The method can be used in a non-rotating scanner or a rotating scanner.

The invention discloses information merge method. It includes the following steps: getting original data from the storage unit for the user terminal; merging it and storing in center data storage unit which can be directly called when the user needs to gain data from many original data storage units. The invention also discloses information merge system. The method can avoid gaining data from many original data storage units for each time to increase efficiency, merge similar data to increase data integrity at the same.

The invention discloses a CORS data quality detection and early warning system based on TEQC. The CORS data quality detection and early warning system comprises a quality detection module and an earlywarning module. The quality detection module is an observation data automatic detection module loaded with TEQC software and can call the TEQC software through Visual C # to automatically carry out quality detection on observation data, process a quality detection report generated by the observation data by utilizing the TEQC software, and automatically extract a data efficiency, a multi-path effect and a ratio of an observation value to a cycle slip number to analyze the quality of the observation data; and the early warning module is used for extracting data in the quality detection report,analyzing and judging the data and providing a CORS reference station data quality condition in real time. According to the method, the quality of the CORS reference station observation data is automatically checked by calling TEQC software, mass data management is achieved, and the real-time condition of the CORS reference station observation environment can be reflected to a user in time.