86results about How to "Ease of parallel processing" patented technology

The invention discloses an interest recommendation method and system based on a user sequence click behavior, and the method comprises the steps: firstly obtaining the historical interaction project data of a user, and forming a historical interaction project sequence of the user; constructing an interest recommendation model; carrying out session division on the historical interaction item sequence of the user by utilizing an interest recommendation model; extracting interests in each session obtained after division, and performing weighting processing on the interests in each session to obtain a session interest sequence of the user; interacting interests among different sessions to obtain a dynamic interaction model among different sessions; and inputting the session interest sequence of the user into a dynamic interaction model between different sessions, and predicting and obtaining a to-be-recommended target project sequence.

According to embodiments, point cloud data transmission method may include encoding point cloud data, encapsulating a bitstream that includes the encoded point cloud data and signaling data into a file, and transmitting the file, the bitstream is stored either in a single track or in multiple tracks of the file, the signaling data include at least one parameter set, and the encoded point cloud data include a geometry bitstream containing geometry data and an attribute bitstream containing attribute data.

The invention discloses an indoor movable positioning and drawing method. The indoor movable positioning and drawing method comprises the following main steps: inputting acquired point cloud data according to requirements; carrying out point cloud primary treatment which specifically comprises point cloud filtering, point cloud coordinate conversion and nonlinear interpolation, and under-sampling; carrying out attitude prediction of a track by adopting a particle filtering method; generating a sub-map, adding a target and carrying out constraint calculation, specifically including generation of a dynamic sub-map, adding a virtual target and an overall target, partial bundling and overall constraint calculation; carrying out overall optimization by utilizing map optimization and reducing accumulation errors caused by frame-by-frame matching; updating a result including updating sub-map data, track data and overall map data generated according to the track; preserving result data. According to the indoor movable positioning and drawing method, a GPS (Global Positioning System) and an IMU (Inertial Measurement Unit) are not used, the data processing speed is rapid and the parallel processing is easy to realize; the drawing precision is high and centimeter-grade precision is realized.

The present invention extends to methods, systems, and computer program products for automated statistical analysis job chunking. A computer system provides an interface for a user to submit job requests which pair a script with a query. The computer system and a batch module interoperate with one another to process the job requests and return the job results to the user. The computer system can query the batch module to understand computational resource capability and availability. The computer system can also partition the larger parent job into smaller job chunks for the purpose of multi-threading and to facilitate concurrent parallel processing.

The invention discloses a vehicle-mounted laser point cloud classification method. The method includes the steps of inputting three-dimensional laser point cloud data; utilizing GPS time and a running track, and performing partitioning processing on the three-dimensional laser point cloud data; then performing preprocessing; performing preliminary classification on preprocessed data blocks; and performing secondary classification on the data blocks after preliminary classification and outputting laser point cloud data after classification. The vehicle-mounted laser point cloud classification method provided by the invention is high in classification accuracy, easy to perform parallel processing and fast in processing speed.

The invention discloses a rapid data correlation method based on angle cotangent values, which mainly solves the problem of slow correlation speed and low correlation precision rate in the measuration data of the existing passive multisensor. The method of the invention comprises the following steps: building statistic by using the angle cotangent values, and building a candidate correlation set by partitioning pretreatment; simplifying the candidate correlation set by azimuth angle and pitch angle measuring which adopt repeatedly random iterations; and finally picking out correct correlation combine through an indicator function and a cost function. The invention directly adopts the angle information for data correlation, avoids the conversion from angle to distance; the operation efficiency is obviously higher than that of the traditional method; and the invention has excellent engineering application value, can be applied to the fields such as infrared guidance, intelligence fusion war, air traffic control and aerospace, aviation, navigation and the like.

The present invention provides a method for star point extracting of a navigational star in cloud environment in daytime, and the method comprises firstly, respectively performing the following operation on each frame of star map of a plurality of frames of daytime cloud star maps which are consecutively taken: (1) using an improved morphological TopHat operator to filter an original start map to obtain a first star map; (2) using a RobinsonGuard filter to filter the first star map to obtain a second star map; (3) using an adaptive threshold method for threshold cutting of the second star map, and storing coordinates and grayscales of all pixels higher than a threshold; and (4) using a clustering method for four-connected domain star point extracting; secondly using a multiframe comparison technique to eliminate pseudo-star points in the connected domain extracted from each frame of star map; and thirdly, calculating the centre of mass of each successfully-compared connected domain to complete the star point extraction. The method can effectively eliminate the interference of daytime sky clouds and other backgrounds, meanwhile avoids mistaken extraction caused by dust and other air floating objects, and ensures the effective and stable star point extraction.

An image processing apparatus includes a division unit configured to divide an input image into a plurality of subblocks subjected to quantization control a subblock quantization parameter calculation unit configured to calculate a quantization parameter of each of the subblocks, a basic block quantization parameter calculation unit configured to set a basic block including at least two subblocks and to calculate a quantization parameter of the basic block, a difference value calculation unit configured to calculate a difference value between the quantization parameter of the basic block and the quantization parameter of each subblock included in the basic block, and a difference value coding unit configured to code the difference value.

Systems, methods, and computer program products for validating billing data and detecting anomalies in billing data are provided. In one embodiment a method is provided, the method comprising: receiving historical billing data for a customer, the historical billing data organized into a plurality of historical data sets; calculating a plurality of statistical representations of each of the plurality of historical data sets; generating a historical profile for the customer based on the plurality of statistical representations of the historical billing data; receiving current billing data for the customer; generating a current profile for the customer; comparing the current profile to the historical profile, the current profile and the historical profile being associated with the same at least one category attribute; and, based at least in part on the result of the comparison, determining whether one or more anomalies are present in the current billing data for the customer.

A computer-based method and apparatus are provided for sourcing persons, organizations or computers capable of executing the tasks required to produce a product or an outcome, and for scheduling the requisite tasks. The computer-implemented method executes a desired workflow or provides a desired workflow deliverable. The method may include entering into workflow management software a desired workflow or a desired workflow deliverable, the workflow management software then defines two or more requisite tasks, and a task executor for each of the tasks by reference to a database of task executors. A task executor may be a human or a computer. The workflow management software then directs the execution of the two or more requisite tasks by the task executor.

A control system for a switched reluctance (SR) machine is provided. The control system may include a converter circuit that is operatively coupled to the SR machine, and a controller in communication with the converter circuit. The controller may be configured to execute two or more processes in parallel, wherein the processes include generating a torque command based on one or more of bus voltage, machine current, rotor speed and rotor position, determining a first set of current control parameters based on the torque command and the rotor speed, determining a second set of current control parameters based on one or more of the torque command, the rotor speed and the rotor position, selecting one of the first and second sets of current control parameters based on the rotor speed, and operating the gates according to the selected set of current control parameters.

The invention discloses an FCT-FDM forward simulation method based on a dispersion viscosity wave equation. A propagation characteristic of a dispersion viscosity wave is researched from the perspective of the numerical simulation. Calculating steps of FCT-FDM is stated, a fluid saturation model is designed, the method is utilized to simulate propagation of the dispersion viscosity wave, and comparing and analyzing are carried out on a numerical result and a sound wave simulation result. The result indicates that relative to a sound wave, the dispersion viscosity wave is obviously attenuated on the amplitude, and the phase position is notably changed. The attenuation degree of the dispersion viscosity wave mainly depends on a dispersion attenuation coefficient and a value of the dispersion attenuation coefficient. According to the FCT-FDM forward modeling method based on the dispersion viscosity wave equation, an effective tool is provided for the numerical simulation of a seismic wave, in particular to a medium containing fluid. The FCT-FDM forward modeling method based on the dispersion viscosity wave equation can be used for describing the attenuation and the phase-shift characteristic of the seismic wave in the fluid medium. In addition, the method is easy to achieve, and the operability is high.

The invention discloses a real-time video stitching algorithm based on optimal stitching line updating, and belongs to the technical field of digital image processing. According to the real-time videostitching scheme provided by the invention, an image registration technology based on feature points is used, and internal and external parameters of each camera are estimated through matching feature points of different view angle images. When image fusion is carried out between different visual angles, an image fusion algorithm based on an optimal suture line is adopted, and a background elimination algorithm based on KNN and a suture line updating algorithm based on dynamic programming are used for avoiding discontinuity and ghosting caused by the fact that a moving object penetrates through the suture line in order to solve the problems of ghosting and discontinuity possibly generated by the moving object. And finally, splicing seams are eliminated by using an image fusion algorithm based on a convolution pyramid. By adopting the video stitching scheme designed by the invention, a good large-view-field image can be provided under the condition of ensuring the stitching real-time performance.

In order to reduce the number of data transfers and to increase parallel processing of decryption processing and authentication processing, an encryption processing apparatus is provided that includes an input/output data that processes input/output data to an encryption/decryption processing unit and an authentication processing unit, where the input/output data processing unit calculates a parameter used by the authentication processing unit from input data to the input/output data processing unit and forms input data to the authentication processing unit from the calculated parameter or a parameter calculated from data processed by the encryption/decryption processing unit and the input data to the input/output data processing unit.

The invention discloses an image enhancing method based on frequency domain and belongs to the technical field of image enhancement methods. An image is regarded as a two-dimensional signal. Signal enhancement based on two-dimension Fourier transform is performed on the two-dimensional signal. By adopting the lowpass filtering method, i.e., just allowing low-frequency signals to pass, noise in pictures can be removed. By adopting the highpass filtering method, high frequency signals on edges can be increased, and vague pictures can become clear. The method comprises steps of 1) obtaining an original image; 2) switching images in the space of the original image to frequency domain space by means of the Fourier transformation; 3) using transition function to process images in the frequency domain space; and 4) after images in the frequency domain space is processed via the transition function, enhancing obtained images via inverse transformation. The image enhancing method is used for image processing.

The invention discloses a three-dimensional imaging method for a multi-transmitting and multi-receiving synthetic aperture radar. The method includes the following steps: carrying out two-dimensional imaging on echo data collected by a multi-transmitting and multi-receiving array at all scanning positions; projecting two-dimensional imaging results which are obtained after processing and correspond to all the scanning positions to three-dimensional space; and adding three-dimensional imaging results which are obtained after processing and correspond to all the scanning positions after processing. The three-dimensional imaging method of the invention can avoid calculating Fourier transform of measurement of a multi-transmitting and multi-receiving synthetic aperture radar imaging system along a scanning direction, can perform multi-transmitting and multi-receiving array scanning and imaging processing at the same time, is suitable for the multi-transmitting and multi-receiving synthetic aperture radar imaging system with a multi-transmitting and multi-receiving array scanning track being a straight line or a curve, which means that an equivalent antenna aperture is a plane or a curved surface, reduces the calculation amount and is beneficial to parallel processing.

The invention provides a convolution Turbo code interleaver and a convolution de-interleaver, wherein the interleaver comprises an exchanger, a first sub interleaver and a second sub interleaver. The exchanger is used for exchanging a first data stream input length of N and a second data stream with input length of N every one data. The first sub interleaver interleaves the exchanged first data stream, wherein the first sub interleaver meets the interleaving quadratic polynomial f(x) being equal to f1x+f2x(mod N). The second sub interleaver interleaves the exchanged data streamer, wherein the second sub interleaver meets the interleaving g(x) being equal to g1x+g2x(mod N), and the f(x) and the g(x) are reversible. In addition, the convolution de-interleaver can fully multiplex the interleaver. The interleaver can realize parallel processing under better bit error code performance, and the convolution de-interleaver is symmetrical to the interleaver.

The invention provides a multidimensional cross data processing method and device. The method comprises the steps that each piece of data which is about to be subjected to multidimensional cross computation is operated in the mode that various combinations of dimension values are converted into corresponding numerical values respectively according to the one-to-one corresponding relations between dimension value combinations and the numerical values, wherein the various combinations of the dimension values comprise the dimension value combinations in the piece of data and the dimension value combinations obtained when one or more dimension values are changed into all values; the numerical values obtained after conversion serve as key names of different key-value pairs respectively, and the index of the piece of data serves as the key value of each key-value pair; according to the key-value pairs generated by the data which is about to be subjected to the multidimensional cross computation, the average value of the key values corresponding to the key names is calculated. By means of the multidimensional cross data processing method and device, the processing efficiency can be improved.