39results about How to "Give full play to computing power" patented technology

The invention provides a public information intelligent analysis platform based on big data analysis and mining. The public information intelligent analysis platform comprises a big data preprocessing module, an intelligent analysis module and an information presentation module. The big data preprocessing module is used for storing and preprocessing enterprise information via a clouded mode. The intelligent analysis module is used for performing event cause and effect analysis, assessment of the overall situation of the company and future trend prediction and returning analysis results to an upper layer by comprehensively utilizing the preprocessed data according to data analysis tasks transmitted by the upper layer. The information presentation module is used for generating the data analysis tasks to the intelligent business analysis module and receiving the returned results, presenting the analysis results of the intelligent analysis module and providing an operation interface to a user. Intelligent analysis is performed on mass data in enterprise operation by adopting a clustered computing method via flexibly establishing and configuring analysis models so that problems of poor real-time performance, high effectiveness and interactivity of a conventional data processing method are solved, the user is assisted to perceive the enterprise situation in real time and thus enterprise management efficiency and business processing level are enhanced.

A garment showing method applied in electronic commerce comprises the following steps: step (1) setting a multi-lens multi-angle shooting environment, wherein a camera is connected with a computer and is controlled by computer software; step (2) starting the computer software, and enabling the camera to take photos when models show in the high shooting environment at a high speed; step (3) sending the photos taken in a multi-frame high-speed manner to the computer; and (4) a photo processing software installed on the computer combines multiple frames of static photos to a dynamic Flash short film. The garment showing method provided by the invention brings users a brand-new multi-viewing angle fashion show viewing experience mode, in which the progress can be optionally controlled an d the data materials and extend information can be optionally searched and viewed, and nearly achieves the virtual reality effect; and a rich media showing mode is adopted, and the basic module of a traditional electronic commerce platform is also provided, so that the interactivity and showing performance of the electronic commerce platform are enahnced.

The invention discloses a service node backup method and a distributed system. Wherein, the service node backup method comprises following steps: a network management device processes to deploy for a mapping relationship between each physical processing unit in the distributed system and each logic service node, wherein, each physical processing unit exists the mapping relationship with at least one logic service node and each logic service node exists the mapping relationship with at least two logic service nodes; and each physical processing unit existing the mapping relationship with the same logic service node concurrent runs all service application program of the logic service node existing the mapping relationship with the physical processing unit. The invention can give full play to system hardware processing ability so as to improve system processing ability, at the same time cannot damage communication system safety backup mechanism.

An embodiment of the invention provides a big data intelligent analysis system. The system comprises a big data platform used for storing and receiving collected big data, a big data preprocessing module used for preprocessing the collected big data, an intelligent analysis module used for performing big data analysis according to a received instruction and performing event causal analysis by comprehensively utilizing the data provided by the big data preprocessing module, and an information display module used for generating a data analysis task, transmitting the data analysis task to the intelligent business analysis module and receiving a result returned by the intelligent analysis module, wherein the preprocessing is used for realizing load balancing, resource virtualization and distributed data storage management. Through an interactive visualization technology, analysis and evaluation results of enterprise information and various detail data are hierarchically subjected to comprehensive and real-time display. By applying the system, the problems of relatively poor timeliness, efficiency and interactivity of a conventional data processing method are solved.

The present invention relates to the field of GPU parallel computing, in particular to a method and an apparatus for scheduling a GPU to perform batch operation. Aimed at the problems in the prior art, the present invention provides the method and the apparatus for scheduling the GPU to perform the batch operation. According to the method and the apparatus provided by the present invention, a separate GPU scheduling module is designed and coordinates with the GPU to perform calculation task processing together with an API application module so as to sufficiently exert the operational capability of the GPU; the API application module sends an operation task to the GPU scheduling module and the GPU scheduling module stores calculation tasks received within a cycle in a cache; and when the GPU completes the calculation tasks in the last batch, the GPU scheduling module submits the cached calculation tasks to the GPU in batches and then the API application module completes the subsequent operations of the calculation tasks in a synchronous mode or an asynchronous mode.

The invention discloses a neural network computing deployment method and device, a storage medium and computer equipment, the neural network comprises a plurality of operators, the method comprises the following steps: acquiring the computing characteristics of a current computing unit, wherein the computing characteristics comprise the supporting capacity of the current computing unit for each operator; obtaining one or more operators from the neural network according to the calculation characteristics of the current calculation unit; and fusing the obtained one or more operators to generate a sub-network, the sub-network being used for being deployed to the current computing unit. Therefore, when the host deploys the operators segmented from the neural network to the corresponding computing units, the I/O overhead between the host and the computing units can be reduced, and the execution efficiency is improved.

The invention provides an e-commerce implementation method of automobile choosing. Specifically, the method comprises the following steps of: setting a multi-lens multi-angle shooting environment, wherein a camera is connected with a computer and controlled by computer software; starting the computer software, and controlling the camera to shoot the photos of an automobile running at a certain speed in the shooting environment at a high speed; transferring the multiple frames of photos shot at a high speed to the computer; and installing photo processing software on the computer, wherein the photo processing software combines multiple frames of static photos into a dynamic Flash short film, and the Flash short film is linked with a 'business-to-customer' (B2C) shopping function to realize the B2C shopping function so as to realize the e-commerce implementation method of automobile choosing.

The embodiment of the invention provides an information display system of big data. The system includes: an information storage module, which is used for storing and receiving the already-collected big data; a big-data preprocessing module, which is used for preprocessing the already-collected big data, wherein preprocessing includes normalization, filtering and clustering; an intelligent analysismodule, which is used for carrying out analysis of the big data according to a received instruction, and comprehensively utilizing the data, which are provided by the big-data preprocessing module, for event causality analysis; and an information display module, which is used for generating a data analysis task, passing the same to the intelligent service analysis module, and receiving a result returned by the intelligent analysis module. The analysis and evaluation result of enterprise information and various types of detailed data are hierarchically and comprehensively presented in real time through visualization technology which is capable of interaction. By applying the embodiment of the invention, the problem that real-time performance, high effectiveness and interactivity of traditional data processing methods are poorer is solved.

The embodiment of the invention provides an intelligent transportation big data processing system. The system comprises a big data platform, a big data preprocessing module, an intelligent analysis module and a data processing system module, wherein the big data platform is used for storing and receiving collected big data; the big data preprocessing module is used for preprocessing the collectedbig data, and preprocessing is used for realizing load balance, resource virtualization and distributed data storage management; the intelligent analysis module is used for analyzing the big data according to a received instruction and performing event casual analysis by comprehensively utilizing the data provided by the big data preprocessing module; and the data processing system module is usedfor generating a data analysis task, transmitting the data analysis task to the intelligent service analysis module and receiving a result returned by the intelligent analysis module, and an analysisassessment result and all types of detailed data of enterprise information are displayed hierarchically and comprehensively in real time through an interactive visualization technology. Through the embodiment, the problems of poor instantaneity, efficiency and interactivity of a traditional data processing method are solved.

The invention provides a big data intellectualized processing system. The big data intellectualized processing system comprises a big data platform, a big data preprocessing module and an intelligentanalysis module, wherein the big data platform is used for storing already-collected big data, the big data preprocessing module is used for preprocessing the already-collected big data, preprocessingis used for achieving load balance, resource virtualization and distributed data storage management, the intelligent analysis module is used for analyzing big data according to a received instruction, comprehensively utilizing the data provided by the big data preprocessing module to analyze the cause and effect of events, obtaining an application service request of a user, determining a processing algorithm corresponding to the application service request, using the processing algorithm corresponding to the application service request and a representing learning module to obtain high-dimension vectors of the analysis of the cause and effect of the events, and adopting a neural network to process the high-dimension vectors. By means of the big data intellectualized processing system, theproblems that a traditional data processing method is poor in real-time performance, efficiency and interactivity are solved.

The invention provides an electronic commerce platform for serving automobile purchasing. Specifically, a multi-lens multi-angle shooting environment is provided, wherein a camera is connected with a computer and is controlled by computer software; the computer software is started to control the camera to perform high-speed shooting of photos of an automobile which runs in the shooting environment at a certain speed; the multi-frame photos which are shot at a high speed are transmitted to the computer; and photo processing software is installed in the computer and is used for combining multi-frame static photos together to form a dynamic Flash short film, and the Flash short film is linked with a 'merchant to customer' purchasing function to realize a business to consumer (B2C) purchasing function, so that the electronic commerce platform for serving the automobile purchasing is realized.

The invention relates to an image processing method and device, equipment and a storage medium. The method comprises the steps of receiving an amplification instruction for a display image; accordingto the magnification instruction, obtaining an image area which is specified to be magnified on a display image as a target image; performing super-resolution amplification processing on the target image to obtain a super-definition amplified image of the target image; and superposing and displaying the ultra-definition magnified image on the display image. The image processing method provided bythe embodiment of the invention is suitable for processing pictures or videos. A user is allowed to select a local area of a terminal display image, and super-resolution magnification processing and displaying are performed based on the local area selected by the user. The requirement of a user for super-resolution amplification of a local area of an image can be met, and the user experience can be improved.

The embodiment of the invention provides a data parallel processing method and device based on a many-core processor, which are applied to a stand-alone database. The method includes: dividing a to-be-operated data table to obtain a plurality of operation tasks after the to-be-operated data table is determined each time; and distributing the divided operation tasks to the slave cores of the many-core processor so as to process the operation tasks in parallel through different slave cores. On one hand, the data tables to be processed are sorted and divided to obtain the operation tasks suitablefor parallel processing, and the operation tasks are distributed to the many-core processor of the single-machine database, so that parallel operation when the single-machine database processes big data tasks is realized, and the operational capability of the many-core processor is fully exerted; and on the other hand, parallel processing of tasks is realized among many cores, the bottleneck of network data transmission speed among parallel computing nodes is eliminated, the operation process is accelerated, and the task processing efficiency is improved.

The embodiment of the invention provides a quick query system of big data. The quick query system comprises an analysis module, an obtaining module, a dividing module and a query module, wherein the analysis module analyzes a dimension array in a query request when the query request sent by a user through a Web page is received, and the dimension array includes at least one dimension vector; the obtaining module obtains difference ranges of all the dimension vectors in the dimension array when the dimension array satisfies a first preset condition; the dividing module divides target big data into multiple data blocks according to a preset dividing rule on the basis of all the difference ranges; the query module conducts data query on each data block according to all the dimension vectors,and summarizing all the query results to obtain target query data. According to the embodiment, the problems are solved that a traditional data processing method is poor in real-time performance, efficiency and interactivity.

The invention provides a cloud multi-connection air conditioning unit. The cloud multi-connection air conditioning unit comprises at least one air conditioning unit body, a cloud multi-connection management platform and a cloud computing platform. An outdoor unit in each air conditioning unit body collects temperature data of an electrolytic capacitor in real time and reports the temperature data and current data; the cloud multi-connection management platform performs central control and management on the outdoor units, receives the temperature data and the current data and reports summarized data; the cloud computing platform completes calculation of the calculated service life of the electrolytic capacitors based on the summarized data and issues the calculated service life to the cloud multi-connection management platform, and the cloud multi-connection management platform carries out real-time monitoring and service life early warning on the electrolytic capacitors according to the calculated service life; and moreover, the cloud multi-connection management platform can also issue current self-adaptive adjustment instructions to the outdoor units according to the calculated service life, and the outdoor units complete the self-adaptive adjustment of the current according to the current self-adaptive adjustment instructions.

The invention discloses a government affair hall receipt printing implementation method and a storage medium, belongs to the technical field of data printing, and aims to solve the technical problem of how to avoid manual change in a government affair hall site when a template is updated each time, provide experience and convenience of root numbers for users and operation and maintenance personnel, and then improve the affair handling efficiency and the affair handling capability of the government affair hall. According to the technical scheme, the method specifically comprises the following steps: making a template on the basis of a Freemarker template engine at a server side, and outputting an html text format; converting the html text format into a pdf text format on the server side based on a Java iText conversion tool; converting the pdf text format into a picture format file on the server side based on a Pdfbox conversion tool; and completing receipt content display on each terminal platform of the client by adopting different printing modes for the pdf format file and the picture format file.

The invention provides an electronic service platform convenient for purchasing bulk goods. Particularly, a multi-lens and multi-angle shooting environment is arranged, and a camera is connected with a computer and controlled by computer software; the computer software is started for controlling the camera to take photos of a car running with a certain speed in the shooting environment at a high speed; the multiple frames of high-speed shot photos are transmitted to the computer; photo processing software is installed in the computer and used for combining the multiple frames of static photos into a dynamic Flash short film, the Flash short film is linked with a business-to-consumer (B2C) shopping function, and the B2C shopping function is realized, so that the electronic service platform convenient for purchasing the bulk goods is realized.

The invention discloses an image optical flow calculation method, device and equipment based on an embedded GPU and a computer readable storage medium. A Gaussian pyramid model is established for a to-be-detected image collected in a vehicle-mounted process, the size of a detection window is dynamically adjusted and calculated according to the characteristics of an embedded GPU and the number of layers of the Gaussian pyramid model, and a single-precision floating point calculation instruction and a half-precision floating point calculation instruction are converted through the GPU. And calculating the optical flow of the feature points in the to-be-detected image. According to the method, the dynamic window of the pyramid layer is established, the problem that GPU thread loads are uneven when the LK optical flow method is calculated is solved, a single-precision floating point calculation instruction and a half-precision floating point calculation instruction are converted through the GPU, calculation of the LK optical flow method is optimized, and therefore the optical flow calculation efficiency is improved.