38results about How to "Strong parallelism" patented technology

The invention belongs to the field of cloud computing application, and relates to method for task rely relation description, decoupling, parallel scheduling and the like in cloud service. Rely task relations are provided, and a decoupling parallel scheduling method of rely tasks are constructed. The method comprises first decoupling the task rely relations with incoming degree being zero to construct a set of ready tasks and dynamically describing tasks capable of being scheduled parallelly at a moment; then scheduling the set of the ready tasks in distribution type and multi-target mode according to real time resource access so as to effectively improve schedule parallelism; and during the distribution of the tasks, further considering task execution and expenditure of communication (E/C) between the tasks to determine whether task copy is used to replace rely data transmission so as to reduce the expenditure of communication. The whole scheduling method can schedule a plurality of tasks in the set of the ready tasks in dynamic parallel mode, well considers performance indexes including real time performance, parallelism, expenditure of communication, loading balance performance and the like, and effectively improves integral performance of the system through the dynamic scheduling strategy.

The invention discloses a method for synthesizing a continuous and smooth panoramic video in real time by using discrete cubic panoramas. The method comprises the following steps of: carrying out feature point detection and feature matching on two input continuous cubic panoramas to establish triangular mesh dissection of the cubic panoramas on a spherical domain so as to realize preprocessing of the cubic panoramas; and carrying out real-time interpolation on the cubic panoramas, estimating the composition of a triangular mesh to be interpolated in a new camera position on the basis of the existing triangular mesh correspondence, and carrying out color filling on the new perspective triangular mesh on the basis of a homography matrix. Compared with the prior art, the method disclosed by the invention has the advantages of projecting the cubic panoramas into the spherical domain, adopting a matching-triangulation-interpolation strategy in the spherical domain, simplifying the complexity of interpolation processing and effectively improving the visual effect of interpolation.

The invention discloses an ordered binary decision diagram modeling method for distribution network fault recovery. The method includes a first step of carrying out partition on a power distribution network, and using an on-off state as a decision variable, a second step of forming an adjacent matrix of the power distribution network according to a forming method of the adjacent matrix of an undirected graph, a third step of forming a reachable matrix of the power distribution network, a fourth step of forming boolean functions of each restriction of fault recovery, a fifth step of combining to generate a final binary decision diagram, and obtaining a contractive solution space, a sixth step of carrying out load flow calculation on feasible solutions one by one in the solution space after contraction, and carrying out safety verification, and a seventh step of obtaining an optimal recovery scheme according to priority levels of optimized objective functions. The modeling method has the advantages of effectively reducing the solution complexity of fault recovery problems, overcoming the defect that a traditional artificial intelligence algorithm is prone to premature convergence in local optimal solution, and improves understanding reliability and the like.

The invention discloses a visual processing device based on multi-layer parallel processing. The device comprises a high speed image sensor array, multiple layers of processor unit arrays and a reduced instruction-set computer (RISC) microprocessor subsystem. An image sensor is used for acquiring images of an actual world, a bottommost low-level processor unit array has a highest degree of parallelism and a relatively weak operational capability, and the degree of parallelism of the processor arrays is gradually lowered and the operational capability of the processor arrays is gradually improved with increasing of layers. A tight coupling between a hardware structure and various image processing algorithms with different degrees of parallelism and algorithm complexity is facilitated by the aid of the layered architecture. A RISC processor is used for performing system control and scheduling of image processing threads. By means of the visual processing device based on the multi-layer parallel processing, the system has high flexibility and high data throughput rate, a multi-thread concurrent working mode is achieved, image processing capacity is greatly improved, and speeds are greatly increased.

The invention aims at the actual demands for parallel solving of electric power system problems and provides a distribution type parallel load flow calculation method based on hierarchical clustering automatic partition. Firstly, automatic partition is achieved through an agglomerative hierarchical clustering algorithm; secondly, partition parallel calculation is achieved through a decoupling method between areas; finally, global convergence is achieved based on iteration convergence conditions, and therefore the power distribution network parallel load flow solving method which is suitable for characters of a power distribution system, strong in parallelism and small in data dependency among tasks can be achieved. According to the distribution type parallel load flow calculation method, clustering advantages can be fully developed, work which needs to be done by ultra-large type computers in the prior art can be finished at low cost and high speed, the computing speed is obviously improved under the precondition that computational accuracy is guaranteed, and the demand for real-time performance of analysis and control is met.

The invention provides a PM2.5 concentration data analysis and prediction model building method. The method comprises the steps of: firstly, decomposing a change process of PM 2.5 into pollution generation, diffusion, thinning and settling; dividing a PM 2.5 monitoring area into a plurality of cells and building a cellular automata model for each process; training parameters in each model by using historical data to obtain a PM 2.5 data prediction model. The cellular automata models are adopted to simulate and predict the change of the PM 2.5 concentration, so that a PM 2.5 concentration change process can be effectively and rapidly predicted.

The invention relates to an optimal torque distribution method based on a distributed electric drive vehicle. The torques of four drive wheels are reasonably distributed, and meanwhile the drive system efficiency and driving safety of the distributed electric drive vehicle are improved. The torque distribution method comprises the following steps of (1) adopting a response surface analysis methodfor conducting regression analysis on test data of a hub motor to obtain a drive motor efficiency function; (2) based on a demand torque value of a distributed electric drive system, establishing objective functions which characterize the efficiency optimization of the drive system and the driving safety optimization of the vehicle respectively; adopting a linear weighting method of a self-adaptive weight coefficient for converting solutions of the two objective functions into a multi-objective optimization problem under constraint conditions; (3) integrating the respective advantages of a genetic algorithm and a taboo search algorithm to put forward a hybrid genetic taboo search algorithm (HGTSA) for solving the multi-objective optimization problem, and obtaining the optimal torque distribution of the distributed electric drive system accordingly.

The embodiment of the invention provides a method and system for managing Internet of Videos devices. The method comprises the following steps: periodically transmitting a parameter collection commandto a plurality of Internet of Videos devices; parsing the received parameter collection command according to an Internet of Videos protocol; obtaining target parameters from the plurality of Internetof Videos devices according to the parsed parameter collection command; performing reverse parsing on the target parameters from the plurality of Internet of Videos devices according to the Internetof Videos protocol to obtain target parameters in a Jason format; storing the target parameters of the plurality of Internet of Videos devices in the Jason format in a database; receiving an operationcommand of the plurality of Internet of Videos devices; parsing the operation command according to the Internet of Videos protocol; operating the plurality of Internet of Videos devices according tothe parsed operation command to obtain operation results; performing reverse parsing on the operation results of the plurality of Internet of Videos devices according to the Internet of Videos protocol to obtain operation results in the Jason format; and returning the operation results of the plurality of Internet of Videos devices in the Jason format to a management platform.

The invention relates to a method for enhancing image resolution by convolution filtering and anti-aliasing analyzing. The method includes steps of preprocessing an original image O to obtain a preprocessed imaged L; sequentially carrying out down-sampling filtering processing and up-sampling filtering processing for the preprocessed image by filters to obtain a low-pass portion of the original image O; subtracting the low-pass portion from the original image O to obtain a high-pass portion of the original image O; carrying out self-similarity processing for the preprocessed image L, searching for positions on the preprocessed image L similar to the high-pass portion, and matching high-pass information into the preprocessed image L by mapping relation to obtain a clear image S with pixels the same as those of the preprocessed image L; and judging whether the image S obtained after the self-similarity processing has aliasing or not, and carrying out anti-aliasing edge processing for the image S obtained after the self-similarity processing and the preprocessed image L to obtain a smoother high-definition image R if the image S obtained after the self-similarity processing has the aliasing. Compared with the prior art, the method has the advantages of capability of increasing definition and resolution of the image, high practicality and the like.

The invention discloses a separable active noise control system. A controller is used for noise control in a stable sound field environment. The controller is used to divide an active noise controller into two independent modules, namely a training module and a control module. The control module has a function of simulating a sound field path, and is mainly used for the simulation of the sound field path from the reference source to the control source, and is used to reduce the sound pressure in the specific area. The training module and the control module can work in a combined manner, and are mainly used for the cooperation of the sound field paths during the active noise control. The system provided by the invention can work in the fixed control working mode and the self-adaption working mode, and is advantageous in that in the fixed control working mode, the control module can work independently; the function is single, the size is small, the cost is low, the power consumption is low, the parallelism is strong, and the processing time delay can be reduced; in the self-adaption working mode, the control module and the training module can work in a cooperative manner, and the connection is convenient and fast, the operation is simple, and the use efficiency is high, and in addition, one training module is used for a plurality of control modules, and therefore the system debugging installation can be facilitated.

The invention relates to a dynamic early warning method for a major hazard source of a chemical industrial park. The dynamic early warning method is characterized by adopting parallel coordinates to perform correlation analysis on correlated variables of key link parameters in the major hazard source, using screened variables with strong correlation as input variables, performing dimensionality reduction on the variables with strong correlation through a principal component analysis method before prediction; dynamically predicting a key production link variable through a recurrent neural network; and performing danger level evaluation by using dynamic prediction results of the key parameters. The dynamic early warning method of the invention is provided for solving some problems in dynamicearly warning of the hazard source of the chemical industrial park, and has the advantages of openness, robustness, parallelism, flexibility, no special requirement on mathematical form of the problem, and so on.

The invention discloses a gravitational and magnetic field combined navigation algorithm. A geomagnetic database and an information processing module are established, the geomagnetic database is usedfor providing geomagnetic map data for a geomagnetic map matching system, the information processing module uses an interpolation process to complete interpolation calculation of geomagnetic measureddata, and a geomagnetic map matching navigation algorithm is used to complete navigation and positioning tasks. Key gravity matching navigation technology and geomagnetic matched navigation is analyzed, and a simple combination mode and a deep combination mode are provided, so the , gravity/magnetic matching navigation algorithm has the advantages of strong autonomy, good concealment and stable positioning precision.

The invention belongs to the digital image processing technology field, concretely relating to an area filling algorithm based on a four-way scan mode. Through setting a specific edge point in a binary edge image as a starting point, the edge image is subjected to scan in four directions, a closed area enclosed by closed edge lines is screened, and other noises in an unclosed area and the edge image are effectively eliminated. A realization mode of the invention is simple, no complex operation is needed, and the closed area can be accurately screened from the complex edge image. The whole algorithm is operated automatically with no need of human intervention and without recursion operation, and is very suitable for parallel realization. Extraction of the closed area in the complex changeable edge image can not be realized in other area filling algorithms, but according to the invention, the extraction of the closed area in the complex changeable edge image is realized. Simultaneously, compared with the other algorithms, the algorithm in the invention has much higher execution efficiency in hardware with parallel operation as main operation.

The invention discloses a strain purified silicon substrate for semiconductor quantum calculation and a forming method thereof, belongs to the technical field of semiconductors, and aims to solve theproblems that epitaxial purified silicon is greatly influenced by natural silicon isotope components of a substrate and the electron mobility of a purified silicon layer is low in the prior art. The strain purified silicon substrate comprises a natural silicon substrate, an insulating layer and a strain purification silicon layer, and tensile stress is introduced into the strain purification silicon layer. The forming method comprises the following steps: epitaxially forming a plurality of silicon-germanium buffer layers on a base substrate, gradually increasing the germanium doping concentration in the plurality of silicon-germanium buffer layers, and forming a strain purification silicon layer on the silicon-germanium buffer layers to obtain a donor substrate; providing a natural siliconsubstrate; forming an insulating layer on the donor substrate and/or the natural silicon substrate; and bonding the donor substrate with a natural silicon substrate, and removing the silicon-germanium buffer layer and the base substrate to obtain the strain purified silicon substrate. The strain purified silicon substrate and the forming method can be used for semiconductor quantum calculation.

The invention belongs to the field of 3D detection and measurement, and particularly relates to a point cloud fusion method and system based on a symmetry plane. The problems of point cloud layering, mutual overlapping and the like generated when multiple groups of point clouds are fused are solved. The method comprises the following steps: 1, defining two groups of point clouds needing to be fused, namely point clouds {pi, j} and point clouds {qm, n}; 2, calculating a tangent plane L1 of the point cloud {pi, j} at the point pi, j and a tangent plane L2 of the point cloud {qm, n} at the point qm, n; 3, calculating an average tangent plane of the tangent plane L1 and the tangent plane L2; 4, calculating space coordinates of a mean value point r'i, j of the point p'i, j and the point q'm, n, wherein the point p'i,j is a point after median filtering of the point pi, j, and the point q'm, n is a point after median filtering of the point qm, n; 5, calculating a projection point coordinate of the point r'i, j on the average tangent plane, namely a coordinate si, j of a point after the point pi, j and the point qm, n are fused; and 6, fusing all points in the point cloud {pi, j} and the point cloud {qm, n} by using the processes from the step 2 to the step 5 to obtain a fused point cloud {si, j}. Through the process, the layering and overlapping phenomena of the point cloud can be eliminated.

The invention discloses a strain purified silicon substrate for semiconductor quantum calculation and a forming method thereof, belongs to the technical field of semiconductors, and aims to solve theproblems that epitaxial purified silicon is greatly influenced by natural silicon isotope components of a substrate and the electron mobility of the purified silicon is low in the prior art. The purified silicon germanium substrate comprises a natural silicon supporting substrate, an insulating layer, a purified silicon germanium layer and a purified silicon layer which are stacked in sequence. The forming method comprises the following steps: epitaxially forming a plurality of silicon-germanium buffer layers and purified silicon-germanium layers on a base substrate to obtain a donor substrate; providing a natural silicon support substrate; forming at least one insulating layer on the donor substrate and/or the natural silicon support substrate; bonding the donor substrate with a natural silicon support substrate, and removing the base substrate and the multiple silicon-germanium buffer layers or removing the base substrate, the multiple silicon-germanium buffer layers and part of thepurified silicon-germanium layer to obtain a purified silicon-germanium substrate; and epitaxially forming a purified silicon layer on the purified silicon germanium substrate to obtain the strain purified silicon substrate. The purified silicon germanium substrate and the forming method thereof can be used for semiconductor quantum calculation.

The invention discloses an enzyme numerical membrane system for an NCC image matching algorithm, the system comprising: a surface layer membrane, which is used for storing an image to be matched, a template image and an initialized enzyme, and simultaneously outputting a position coordinate for calculating a matching position of the template image in the image to be matched; a ComputeT film for calculating parameters required for NCC calculation of a template image; a ComputeMatchingCood film for calculating a matching position of a template image in an image to be matched; and several ComputeNccValuelk films, which are used to calculate in parallel the NCC value of the template image at each position in the original image after each position is moved. The membrane system of the inventionhas strong parallelism, the template image does not need to be sliding matched on the original image, but simultaneously calculates the NCC values with all the sub-images, so that multiple NCC computations consuming time under serial computation are executed in parallel, and the computation time complexity is constant, independent of the data scale, thereby greatly reducing the time complexity ofthe entire NCC image matching algorithm.

The invention relates to a double-arm combined hexagonal wrench which comprises a T-shaped handle, an inserting rod, a wrench assembly and an illuminating assembly. The T-shaped handle comprises a rotating rod and a connecting rod, and one end of the connecting rod is perpendicular to and fixedly connected with the middle of the rotating rod; the inserting rod comprises a cylindrical base and a flat square inserting piece, the cylindrical base and the flat square inserting piece are integrally formed, and the cylindrical base is fixedly connected with the end face of the other end of the connecting rod; the wrench assembly comprises a plurality of inner hexagon dies with different sizes, each inner hexagon die is provided with a slot corresponding to the inserting rod, and the slot is usedfor inserting the inserting rod; and the illuminating assembly is arranged at the other end of the connecting rod. The hexagonal wrench is high in parallelism and flexibility, convenient to operate,improved in working efficiency and suitable for wide-range popularization.