77 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.

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 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 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 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 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 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 provides a jump grid searching method considering maneuverability constraints of an unmanned aerial vehicle. The searching method comprises the following steps: rasterizing a map and defining coordinates of each grid in the map; determining the number of jumping grids of the next step according to the current speed and maneuverability constraint of the unmanned aerial vehicle; determining grids for decision making according to maneuverability constraints and the number of jumping grids; calculating search income according to the grids for decision making, and deciding a target grid for next movement of the unmanned aerial vehicle according to the search income; and judging whether the search task is completed after the unmanned aerial vehicle moves according to the search information, if not, repeating the search decision process, and if so, ending the search. By applying the technical scheme of the invention, the technical problems of low search efficiency and influence on the safety performance of the unmanned aerial vehicle caused by mismatching of the search flight path planned by the existing search decision method and the maneuverability of the unmanned aerial vehicle are solved.

The invention discloses a standard grid division method and device based on road circulation capacity. The method comprises the following steps: dividing to obtain a plurality of basic grids corresponding to road network information; calculating flow capacity values of road sections forming boundaries of the plurality of basic grids; and merging the plurality of basic grids according to the flow capacity value and a grid information threshold of a standard grid, and obtaining the standard grid according to a merging result. According to the scheme, the basic grids are merged according to the flow capacity value of the road section and the grid information threshold value of the standard grid to obtain the standard grid, so that the obtained standard grid meets the actual geographical segmentation significance while meeting the grid information threshold value limitation; moreover, the division scheme is small in calculation amount and high in division efficiency, and standard grids canbe quickly obtained.