80 results about "Grid computation" patented technology

The invention relates to controlling the participation and performance management of a distributed set of resources in a grid environment. The control is achieved by forecasting the behavior of a group of shared resources, their availability and quality of their performance in the presence of external policies governing their usage, and deciding the suitability of their participation in a grid computation. The system also provides services to grid clients with certain minimum levels of service guarantees using resources with uncertainties in their service potentials.

A dynamic access control method based on the trust model is a security solution of the dynamic access control, which solves the problem how the users screen out the trusty node in the gridding and meets the requirement of the user massive operations by optimized distribution of the mission submitted by users according to the ability of respective resource node. The method applies the trust model and the trust evaluation control mechanism to implement the security protection to the resource provider and resource consumer in the gridding community and provide a quality guarantee to the mission submitted. The method applies the trust model into the access control mechanism and applies trust model to solves the problem how the users screen out the resource node according with the user requirement in the gridding so as to accomplish the emission submitted by users and solve the security of cooperation and resource sharing between the gridding user and gridding entity in the virtual organization and between other virtual organization entities and establish security system structure which authorizes the users in the environment for establishing the gridding computation.

[Object] To provide a system capable of performing optimum job scheduling in respect of the types and utilization of computers as well as the types of jobs, and readily accommodating changes to the system configuration, in a grid computing system. [Constitution] A center server 100 which requests process servers on a grid computing network to execute jobs includes a scheduler section 110 which assigns a job to be executed to a process server and issues a job execution request, and a PS agent section 120 which manages information about the process servers 200, receives a request issued by the scheduler section 110, and sends the request to the process server 200 to which the requested job has been assigned, depending on the operating status and access type of the process server 200.

Method is provided for simulating a physical process such as fluid flow in porous media by performing a fine-grid calculation of the process in a medium and re-using the fine grid solution in subsequent coarse-grid calculations. For fluid flow in subsurface formations, the method may be applied to optimize upscaled calculation grids formed from geologic models. The method decreases the cost of optimizing a grid to simulate a physical process that is mathematically described by the diffusion equation.

The invention provides a method for acquiring a sensitivity coefficient of an important parameter of reactor physical grid computation. The method comprises: 1, establishing a computing model for a specific reactor physical computing problem; 2, adopting a subgroup resonance self-shielding method to perform resonance self-shielding computation, establishing a corresponding generalized conjugate equation for a fast group source term, a resonance energy group source term and a resonance self-shielding section, and solving the generalized conjugate equation to obtain a sensitivity coefficient of a resonance self-shielding section; 3, for an important parameter that needs to be computed, establishing and solving the generalized conjugate equation corresponding to the important parameter, so as to obtain an explicit sensitivity coefficient of the parameter; and 4, combining the sensitivity coefficient of the resonance self-shielding section and the explicit sensitivity coefficient of the resonance self-shielding section to obtain an implicit sensitivity coefficient, wherein a total sensitivity coefficient is equal to the sum of the explicit sensitivity coefficient and the implicit sensitivity coefficient. According to the method provided by the invention, the sensitivity coefficient of any parameter that can be represented as a flux or conjugate flux functional can be obtained quickly; an implicit effect is also considered; and thus the sensitivity coefficient is more accurate.

The embodiment of the invention provides an unmanned vehicle path planning method and device. According to the method, high-precision map information is analyzed, repulsion is calculated for each gridaccording to map obstacle information after the map is rasterized, the repulsion serves as the searching cost, the obstacle avoidance efficiency of a hybrid A* algorithm can be effectively improved,and the generated trajectory conforms to vehicle dynamics constraints. Meanwhile, the generated trajectory is smoothed by using a gradient descent algorithm, and finally an optimal trajectory is output. Vehicle kinematics constraints are considered, so that the planned path has drivability; a potential field is calculated for each grid, so that the path searching time can be reduced to a certain extent; the potential field method enhances the tolerance of sensing errors to a certain extent, and improves the robustness of path planning; different repulsion levels are allocated to different types of obstacles, and repulsion weights are dynamically set for the boundary width of the lane-level road; and the gradient descent smoothing module is adopted to smooth the generated path, so that thepath is more suitable for vehicle driving.

The invention relates to digital transportation system, relating to a traffic control system, which is composed by independent move, static grid computation group, the static grid computation group is composed of the database, the server group, the computer and the light signal transceiver which connects by the optical fiber, the dynamic grid computation group is composed by wireless base, the repeater, the terminal transportation system main engine and the chair has the network function and so on, the picture recognizer and the fingerprint recognizer installed on the seat arm of network function, the display monitor connect with main engine, the chair, the operation monitoring sensor of the terminal transportation systemnumeral platform. The SIM smart card has the chair terminal recognition, monitoring sensor and the display monitor connection. This invention depends on the wireless base handling ability, expands the optical fibernetwork, realizes the on-line monitoring, causes the SIM card to enter the management; through wireless frequency modulation to network security two protections; Under the use sound wave launch module, caution the underwater barrier; the SIM browser establishment, causes the main engine multi-process sharing guidance, each process assign single command, realized the network use and data encipherment protection.

The present invention makes it possible to collect and deliver widely distributed, grid computing related resource information in a scalable manner with its use in mind. When collecting resource information on a CPU type and a usage ratio before using resources in a grid environment such as a CPU, a resource use device 100 sends a resource information evaluation expression 110, which is a criterion for selecting resources, to a resource providing device 120 via evaluation expression sending means 101. The resource providing device 120 evaluates resource information on a resource, which will be provided, via resource information evaluation means 121 using the resource information evaluation expression 110, adds a resource information value 131, which is the result of evaluation, to resource information 130 via resource information value addition means 122, and delivers the resource information 130 to the resource use device 100.

The invention relates to an electric power system analysis parallel computing method and system based on grid computation. According to the method and the system, a parallel computation task of electric power system analysis is executed in a net-connected computer environment containing a server and a plurality of clients. The computation task and available computation resources of each client are obtained in the server, and a queue of tasks to be computed is constructed. Then the computation task and a computation mode are sent to one or a plurality of available clients by the queue of tasks to be computed and the available computation resources for computation. The computation mode is set to be that when fewer computation tasks exist, parallel programs based on a shared memory parallel method are executed by a plurality of processors of the client, when more computation tasks exist, serial programs are executed respectively by the processors of the client, and the tasks to be computed can be completed in as little time as possible.

A method of traffic reduction in a mesh computing system (400), the mesh computing system (400) comprising hosts located on edge nodes of the mesh computing system (400) and a central registry located outside the mesh computing system (400), the central registry holding the images. The method comprises, at a first host located at a first edge node, receiving (920) a request from a client for an image, sending (930) a request for the image to at least one other host of the mesh computing system (400). When the first host receives (940) notification that at least a second host holds the image, the first host downloads (960) the image from the second host to the first host. The first host creates (970) a container from the image. A host at a node (636; 700) and a mesh computing system (400) are also provided.

The invention belongs to the field of wireless sensor networks, and particularly relates to a multi-objective optimized wireless sensor network node deployment method. The method comprises the following steps: initializing particles in a population, calculating the best positions of the particles in the population, and setting initial parameters of an algorithm; calculating a target function of each particle in the population; storing the non-dominated solutions in the population into an external file according to a Pareto dominating principle; creating a grid, and calculating density information of particles in an archive set; selecting a globally optimal solution in the archive set according to the density information of the particles, and updating the speed and position information of the particles. According to the method, a virtual force operator and a mutation operator are introduced into a multi-objective particle swarm optimization algorithm to correct the sensor position information contained in the particles, so the optimization convergence speed of the algorithm is increased, the algorithm is prevented from falling into a local optimal solution, and a Pareto optimal solution set meeting requirements is obtained in the multi-objective optimization deployment problem of the algorithm.

The invention discloses a static charging pile deployment method based on grid division. The method comprises the following steps: establishing a network model; carrying out grid division on the to-be-analyzed area; calculating average data of the shared electric bicycles in the grids and excluding part of the grids;calculating distribution data of the shared electric bicycles in the remaining grids and selecting grids distributed by the static charging piles; and carrying out position optimization on the selected grid so as to determine the final deployment position of the static charging pile. Based on grid distribution, the distribution variance of the shared electric bicycle is taken as a measurement index, so that the method provided by the invention can better consider the distribution condition of the dynamically changed shared electric bicycle, can obtain better deployment performance in the aspects of coverage rate and stability of the shared electric bicycle, and can better solve the problem that the static charging pile is difficult to move once being deployed.

The invention relates to a method and device for simulating the dynamic impact process of oil and gas well perforation. The method comprises the steps: obtaining the actual perforation working condition of an underground perforation system; according to the actual perforation working condition, simplifying the underground perforation system; according to the simplified underground perforation system, setting model parameters in the perforation process, and establishing a three-dimensional calculation model; according to the model parameters, determining at least one material area of the three-dimensional calculation model, determining a corresponding description algorithm to carry out grid division, and forming a grid calculation model; according to the grid calculation model, selecting different response model equations for dynamic response for at least one material area; and according to the complete simulation model, importing numerical values in the finite element analysis model to carry out simulation operation, and carrying out comprehensive analysis on a simulation operation result. According to the invention, the actual perforation dynamic impact process of the oil and gas well can be presented, and local or overall dynamic data at different underground positions can be conveniently and flexibly acquired.

The invention relates to an accurate interface tracking processing method coupled with a Lagrange mass point and an Euler method, and belongs to the field of computational explosion mechanics. The method comprises the steps of 1, creating a simulation model for a to-be-analyzed object, and performing initialization setting on the created simulation model; 2, calculating an artificial viscosity value, a stress tensor and a grid speed updating amount of the grid in each set time step; 3, determining a topological relation between the grids and the mass points so as to realize mapping of physicalquantities of the grids to the mass points; 4, determining the moving position of the mass point; 5, determining a topological relation between the moved mass points and the grids so as to map the physical quantities of the mass points to the grids; 6, calculating a state equation and a control equation corresponding to the simulation model; and 7, updating the physical quantities of the grids and the particles of the simulation model at the boundary of the computational domain. According to the method, the large deformation and dynamic damage process of the material is well processed, and accurate numerical simulation calculation of explosion and impact problems is effectively achieved.

The invention provides a terrain occlusion radar detection range calculation method based on a three-dimensional grid, and the calculation of the radar detection range under the influence of the terrain is realized through the steps of calculating a difference set of a coding set, calculating intervisibility based on the grid and the like on the basis of a three-dimensional grid expression structure. According to the invention, the terrain data and the radar detection range are unified into discrete grids for storage based on the three-dimensional grids, and whether a certain grid in the radar detection grids is shielded by the terrain is judged through the intervisibility calculation idea, so that the reasonable and correct three-dimensional expression of the radar detection area can be achieved; the error condition that a target point can still be detected in a sheltered area after an obstacle appears in a radar detection range is avoided, the problems of large three-dimensional grid data size and long calculation time are solved, radar detection area representation under the terrain influence is rapidly obtained through an improved acceleration iteration method, the efficiency of a sheltered area calculation algorithm is improved, the grid calculation scale can be improved, and powerful support is provided for related calculation research.

The visual system is composed of visual application manager, frame server and visual modules located on portal / web server and visual server. Through web browser, users can access the remote visual system so as to realize remote visual process in interactive mode. The technique belongs to grid computation and visual area. Characters are that remote visual process can be realized without need of changing current environment of grid and source code of visual software.

The invention relates to a traffic management method using a distributed mobile terminal. The method includes: each terminal handheld equipment or vehicular terminal serves as a distributed network node which is a real data source with certain time period; a real-time online system is built through network interconnection and on the basis of detailed data requirements of LBS location information, and / or requirement bidding, and / or required time periods, and / or required distance, and / or required car conditions, and / or required consumption; a user of each vehicular terminal provides the requirement for going to the LBS location of the user of the vehicular user in a certain time period; the user of the real-time terminal handheld equipment or the vehicular terminal is considered as an optional node in grid computing. Public resource optimization is achieved through virtual journeys, and tool processing of resource discovering and monitoring, resource distribution and management, safety maintenance, performance monitoring and charging can be achieved.

The invention discloses a tank gun aiming shooting method and device. A cross aiming point in a to-be-calibrated image is taken as a coordinate origin, a matched superposition coordinate system is selected for superposition, position coordinates of a shooting target in the to-be-calibrated image are determined according to virtual grids in the superposition coordinate system, then the offset between the cross aiming point in the to-be-calibrated image and a pre-established coordinate origin is calculated based on the virtual grids of the superposition coordinate system, the cross aiming point is aligned with the origin according to the offset, after alignment, a tank gun is controlled to aim at the shooting target according to the position coordinates of the shooting target, the tank gun is controlled to shoot the shooting target according to the measured actual shooting distance, so that the tank gun does not need to be provided with a sighting telescope, the structure is simplified, the aiming shooting process is reduced, and the shooting aiming accuracy of the tank gun is improved.

The invention provides a support body generation method, a 3D printer, a computer device and a computer readable storage medium. The support body generation method comprises the following steps: determining the length, the width and the minimum point coordinate of a bounding rectangle in an XY-axis plane according to the bounding box size of a triangular mesh model; constructing a 2D grid parallel to an X-axis plane and a Y-axis plane; calculating an XY direction threshold value of each square block in the 2D mesh and an XY direction threshold value of each triangular surface in the triangular mesh model; comparing the XY-direction boundary value of the triangular facet with the XY-direction boundary value of the square block, and adding the index information of the triangular facet falling into the square block to an index list of the triangular facet; and when the collision condition of a straight line parallel to the Z axis and the triangular mesh model is detected, carrying out intersection operation on the straight line and the triangular surface in the index list of the square block to which the straight line belongs, and determining the triangular surface needing to be supported. According to the method, collision detection is carried out by converting a 3D triangular mesh model into a 2D triangular mesh model, and the detection speed is increased by constructing a 2D mesh.

The invention discloses a hull grid automatic division method based on a virtual test platform. The method comprises the following steps: S1, identifying a molded line, a vertical line and a design waterline of a ship according to basic information, a three-dimensional model and a molded value table; s2, creating a calculation domain of the ship according to the molded line, the vertical line, thedesign waterline and predefined creation information; s3, dividing a curved surface of a hull and curvature information of the curved surface of the hull according to the molded line to generate hullsurface grids; s4, according to the hull surface grid, generating a boundary layer grid for capturing flow change of the fluid passing through the surface of the hull; and S5, based on the hull surface grid, the boundary layer grid and the computational domain, generating a hull grid which comprises a near flow field and a far flow field and is used for outputting. The method can adapt to automatic generation of grids of most ship types, the grid generation time during ship CFD calculation is saved, and a foundation is laid for finally achieving systematic numerical optimization of the ship types.

The invention relates to a network security event detection system and method based on grid computing, and the system comprises a data collection module which is used for carrying out the real-time collection of a client, and obtaining the operation data, task data and user data generated by the client; a resource allocation module which is used for allocating user access permission according to the user data and executing computing resource allocation corresponding to the corresponding permission according to the task data and the operation data; and a grid detection module which is used forcalling the corresponding distributed computing resources to execute detection. The system has the beneficial effects that fine-grained high parallel computing is realized, and gridding parallel computing of a large-scale data set is supported; the expansibility and the computing resource balance of the parallel computing network and the nodes are realized; a full-life-cycle security baseline table model and a map-match mapping and matching detection process are adopted to realize fine-grained security event detection of the whole network.

The invention discloses a brightness temperature data scale refinement method of an atmospheric temperature and humidity profile detector. The scale refinement method comprises the following steps: S1, selecting a target grid for scale refinement; s2, searching adjacent brightness temperature data for each target grid; s3, calculating a weight factor corresponding to the adjacent brightness temperature data set for each target grid; and S4, calculating a brightness temperature value after scale refinement on the target grid according to the weight factor. According to the scale refinement method, the problem that the observation scale refinement degree of a traditional real aperture atmospheric temperature and humidity profile detector is insufficient can be solved, so that the purposes that a target grid is not limited, and the design of a load antenna does not need to be improved are achieved; from the perspective of data image processing, the scale refinement degree of the brightness temperature data is improved to a specified target grid by using a scale refinement algorithm according to data application requirements. And the observation requirements of extreme weather such as typhoon and severe convective weather are met by using the data after scale refinement.

The invention provides a parallel computing method for directly solving a structured triangular sparse linear equation set, and belongs to the field of heterogeneous multi-core platform communication optimization and high-performance numerical computing. The method comprises the steps of inputting a solving problem scale and a grid calculation template of a structured linear equation set, receiving a solving matrix and a right-end vector, adaptively selecting a solving mapping scheme, and starting multi-core parallel processing; dividing the solution matrix and the right-end vector into a plurality of batches according to the selected solution mapping scheme, and mapping the solution matrix and the right-end vector to a slave core array; based on the computing task of each slave core, opening up a space in a local storage space of the slave core to store dependency data; and based on the calculation in batches, mapping the solution matrix and the right-end vector to the slave core array in batches for calculation, and obtaining dependency data by the slave core array in each batch according to a pipeline mode to complete calculation and communication until the structured linear equation set problem is completely and correctly solved. By adopting the method, the structured linear equation set can be efficiently solved.

The invention discloses a method for inverting arctic melting pool distribution by using an artificial neural network. The method comprises the following steps: firstly, collecting a high-resolution melting pool image and a medium-resolution imaging spectrometer MOD09GA at the same time period, and re-projecting the high-resolution melting pool image and the medium-resolution imaging spectrometerMOD09GA into sine projection; then, constructing a grid consistent with the MOD09GA; calculating the proportion of a melting pool, the proportion of sea ice and the proportion of open water in each grid, and deleting pixels covered by cloud in MOD09GA; forming a data set by the obtained data, the corresponding sun-chasing surface reflectance and the MOD09GA 1-7 waveband reflectance; finally, constructing a melting pool model, taking the matched MOD09GA 1-7 waveband reflectivity as an input set, taking the corresponding sea ice proportion, melting pool proportion and open water proportion as anoutput sample set to train an artificial neural network, and finding an optimal solution. The method overcomes the defects of field observation and underway observation in time and space, has the characteristics of rapidness and simplicity, improves the remote sensing monitoring level of polar regions in China, and can better reflect the real melting pool condition of the north pole.

The invention relates to a method for estimating the sea ice output area flux of a polar critical channel. The method comprises the steps: sea ice motion (SIM) data and sea ice concentration (SIC) data are obtained based on satellite remote sensing data, grids covered with the channel are determined according to the channel position and the data resolution, the SIM component, perpendicular to thechannel, of each grid is calculated, and the products of the SIM, time, grid edge length and SIC, perpendicular to the channel, of all the grids are accumulated to obtain the sea ice area output fluxof the special channel. The problems that the sea ice area output flux of the critical channel in polar regions is low in basic data estimation precision, and long-time-series results lack are solved,and material balance of sea ice in the polar regions under the new climate environment is advantageously understood; and the method is high in precision, and the sea ice output area flux of any channel in the polar regions can be calculated according to demands.

The invention discloses a method and a system for judging a typical bealock microtopographic region of power grid waving. The method comprises the following steps: acquiring meteorological elements ofmeteorological stations over the years; dividing a target area to be analyzed into grids; calculating the topographic relief of the grids in the target area; forming a set by grids of which the topographic relief degree is greater than a relief degree threshold value; calculating whether the relationship between each grid in the set and four surrounding grids satisfies a typical bealock microtopography area model, and if so, determining that the grid is a typical bealock microtopography area; interpolating the meteorological elements of the meteorological station over the years into the gridsof the target area, and judging whether the meteorological elements of each grid over the years are dancing days or not; when the number of dancing days of the grid is greater than a dancing day threshold, judging the grid as a dancing grid point; and taking the grid conforming to the typical bealock microtopography area and the waving grid points as the typical bealock microtopography area. According to the method, the typical bealock microtopography area of power grid waving can be judged.