279 results about "Computing Methodologies" patented technology

Computational methods are used to create cardiovascular simulations having desired hemodynamic features. Cardiovascular modeling methods produce descriptions of blood flow and pressure in the heart and vascular networks. Numerical methods optimize and solve nonlinear equations to find parameter values that result in desired hemodynamic characteristics including related flow and pressure at various locations in the cardiovascular system, movements of soft tissues, and changes for different physiological states. The modeling methods employ simplified models to approximate the behavior of more complex models with the goal of to reducing computational expense. The user describes the desired features of the final cardiovascular simulation and provides minimal input, and the system automates the search for the final patient-specific cardiovascular model.

Distributed computing methods and systems are disclosed, wherein intensive fatigue-risk calculations are partitioned according to available computing resources, parameters of the fatigue-risk calculation, time-sensitive user demands, and the like. Methods are disclosed wherein execution-cost functions are used to allocate accessible computing resources. Additional methods include partitioning calculation tasks by user-prioritized needs and by general mathematical features of the calculations themselves. Included herein are methods to calculate only prediction-maximum likelihoods instead of full probability distributions, to calculate prediction likelihoods using Bayesian prediction techniques (instead of full re-tabulation of all data), to collate interim results of fatigue-risk calculations where serial results can be appropriately collated (e.g., serial time-slice independence of the cumulative task involved), to use simplified (e.g., linear, first-order) approximations of richer models of fatigue prediction, to assign user-identified priorities to each computational task within a plurality of such requests, and the like.

A PoF based method for calculating mission reliability of an electronic product comprises steps as follows: step one, information of all mission profiles of the product is collected, and an environment profile of each mission is determined; step two, thermal simulation and vibration simulation of environmental stress of each mission are performed, and a local response of the product to an environmental load is obtained; step three, a product simulation model is established; step four, simulation calculation of the product in all the mission profiles is completed, and the mean time to failure and a main failure mechanism of the product are obtained; and step five, the mission reliability of the product is calculated according to the mean time to failure. According to the PoF based method for calculating the mission reliability of the electronic product, all missions of the product during lifetime use are considered, the environmental stress of each mission is simulated, and the mean time to failure and the mission reliability of the product are comprehensively calculated. By means of a PoF model, the direction relation between parameters of a product material, structure, process and the like and the reliability can be obtained, and a design improvement direction is clearly and directly provided for the product.

The invention provides a grid security comprehensive evaluation method which includes that a set of complete two-stage in-advance comprehensive evaluation index system and an each-stage security evaluation index calculating method are built aiming at the requirement of grid security operation evaluation, a grid security comprehensive evaluation model based on a gray area correlation analysis method and the game theory is further provided, initial evaluation is conducted on each one-stage index by the model, an obtained evaluation result is subjected to comprehensive evaluation, a correlation coefficient matrix of each one-stage index is determined by adopting the gray area correlation analysis method, weights are obtained by utilizing a game collection model pair analytic hierarchy process (AHP), an artificial neural network (ANN) and an entropy weight method and are objectively combined to obtain a combined weight, initial evaluation is conducted on each one-stage index, the AHP is adopted to determine a one-stage index weight, and the one-stage index weight and an initial evaluation result are subjected to weighing calculation to further obtain a grid security comprehensive evaluation result, namely the grid security quality ordering.

The invention includes a system and process that employs contractual bargaining with agent-based computational methods for the dynamic allocation, optimization, and pricing of contingent rights and obligations between multiple counterparties with overlapping interests. The processes employ a dynamic and endogenous hierarchy or tiering of binding incentive compatible contingent strategies, which may include optimal liquidation policies for matched assets and liabilities based upon stochastic volume/price schedule related to statistically non-stationary supply/demand elasticities and order-flow, as well as variations in market microstructure. The invention includes a dynamic open system with distributed stochastic control of strategic interactions among dynamic optimizing agents across random states, wherein the actions of any one affects the joint costs and benefits for all the agents.

The invention discloses a power distribution system probability reliability assessing method based on an analytical method. The method comprises the steps that a given power distribution network is partitioned into a fault area, an isolation area, a gapless island area and an influence-free area are classified, a fault mode impact analysis sheet base is established, and parameters are initialized; a stimulation clock is initialized, a random number is generated, the minimum non-failure operation time is obtained according to failure rate parameters of all element state models, the fault isolation time and the load band transferring time are worked out, and the stimulation clock is pushed; the fault mode impact analysis sheet base is inquired, classifications of all cells are determined, whether an island is formed or not is judged, and different methods are adopted for processing the island area and the non-island area; the state sample of an energy storage device is established according to the energy storage device electrical charge state probability distribution obtained through the probability reliability calculating method; distribution probabilities of single-time fault indexes of load points are overlapped, and the probability reliability indexes of the loads and the system are calculated. The simulation speed is increased while certain calculation precision is ensured, and the power grid situation is comprehensively reflected.

The invention discloses calculating method and system for multi-dimensional division, relates to the technical field of multi-dimensional division, and aims at performing multi-dimensional division calculation for mass data on real time in order to lower down the complexity in calculating. The method comprises the steps of generating a recursive topology according to the default indicators and dimension information; determining the curing dimension combination and the operation path for generating the optimal curing dimension combination according to the preset curing strategy; receiving mass data reported by a data reporting point; preprocessing the mass data to obtain the processed data; performing different accumulation calculations for the processed data on real time according to the preset calculation rules, the curing dimension combination and the optimal curing dimension combination, so as to obtain the accumulation calculation result. The method and system are applied to multi-dimensional division.

The invention relates to a computing system and computing method for big data processing. The computing system comprises a bottommost-layer module, a middle-layer module and a topmost-layer module sequentially from bottom to top. The middle-layer module comprises a message transmission module and computation model modules. A Hadoop distributed file system is adopted in the bottommost-layer module, and the bottommost-layer module is used for storing data. The message transmission module is used for transmitting messages between the computation model modules operating at different computing nodes. The computation model modules operating at the different computing nodes work cooperatively according to the messages transmitted by the message transmission module and establish specific types of computation models respectively to process the data. The topmost-layer module is used for providing programmatic interfaces for the computation models, combining computation expressed by the different computation models in a serial mode and enabling the different computation models to share the data based on an internal storage flow line mode through setting at the same time. According to the computing system and computing method for big data processing, application programs can be written in one system through the multiple computation models, and more complex problems can be solved.

Disclosed are attitude determination, panoramic image generation and target recognition methods for an intelligent machine. The attitude determination method for the intelligent machine comprises the following steps: defining a local coordinate system; and determining an intelligent machine attitude matrix Rg, wherein Rg is a 3x3 unit orthogonal matrix relative to the local coordinate system and can be obtained through multiple methods according to different sensors inside the intelligent machine. By means of attitude determination of the intelligent machine, multiple applications can be achieved, comprising a virtual reality roaming method for the intelligent machine, multi-vision localization of the intelligent machine, monocular single-point localization of the intelligent machine, panoramic image generation of the intelligent machine, target direction selection in the intelligent machine, real-time video image correction, single-image localization of the intelligent machine, and relative localization among multiple cameras.

The invention discloses an area coverage rate calculating method based on mesh division and relates to the analysis calculating technology of coverage rates and overlapping rates in sensor detection ranges. According to the area coverage rate calculating method based on the mesh division, the mesh division is conducted to a designated area, then the coverage and the covering degree of each mesh unit are sequentially calculated, finally the coverage rate and the overlapping rate of the designated area are counted, and coloring to the mesh unit is conducted according to the coverage. The area coverage rate calculating method based on the mesh division has the advantages of being simple and easy to understand, stable and reliable in performance, and figurative and visual in expression, is especially suitable for application fields of multi-type and multi-quantity sensor distribution scheme evaluation, signal launching tower site selection analysis, signal dead zone analysis and the like under complex terrain conditions.

The invention discloses a method and a system for simulating calculation of transport capacity of an urban rail transit network. The method includes the following steps: setting a simulation scene which includes network features, passenger flow features and a running chart; loading initial passenger flow generation quantity into a network; starting to simulate; calculating and outputting service levels of all lines and all stations; judging whether the service levels meet conditions for calculation stopping or not, if yes, displaying current total passenger flow quantity; and if not, adding added passenger flow into the network, then repeatedly executing simulation starting. The system comprises a scene setting module, an initializing module, a service level calculating module, a stopping condition judging module, a pressure adding module, a displaying module and a simulating module. By adopting the idea of pressure testing, using computer simulation as a means and taking the network service level into consideration, calculation quantity is reduced, and reliability of calculation results is improved.

The present invention overcomes problems in prior art DNA-based computing methods for solving non-deterministic polynomial optimization problems, by providing methods that derive the most probable answers in a statistically significant manner that makes the methods scalable with increases in the number of data inputs, and thus makes the methods practical.

A system and computation method is disclosed that identifies radiation-induced lung injury after radiation therapy using 4D computed tomography (CT) scans. After deformable image registration, the method segments lung fields, extracts functional and textural features, and classifies lung tissues. The deformable registration locally aligns consecutive phases of the respiratory cycle using gradient descent minimization of the conventional dissimilarity metric. Then an adaptive shape prior, a first-order intensity model, and a second-order lung tissues homogeneity descriptor are integrated to segment the lung fields. In addition to common lung functionality features, such as ventilation and elasticity, specific regional textural features are estimated by modeling the segmented images as samples of a novel 7^th-order contrast-offset-invariant Markov-Gibbs random field (MGRF). Finally, a tissue classifier is applied to distinguish between the injured and normal lung tissues.

The invention discloses a GIS (Geographic Information System)-based region-meshed spatial population density computing method. According to the method, regional distribution characteristics of natural and socio-economic factors affecting population density are taken into full consideration, a statistical model is established in a manner that a village, namely a smallest regional administrative unit, serves as a unit, a research region is subjected to 100m*100m meshing, and the village-level statistical model is inverted to all meshes so as to describe population distribution by using the mesh units. The GIS-based region-meshed spatial population density computing method disclosed by the invention has the advantage that the spatial population analysis accuracy can be better improved.

The invention discloses a pit slot three-dimensional index extracting and calculating method based on 3D line laser equipment. The pit slot three-dimensional index extracting and calculating method comprises the following steps: firstly, making a plurality of regular simulation pit slots with different depths and different areas, calibrating parameters affecting a recognition rate of the 3D line laser equipment to obtain an optimal parameter combination; secondly, recognizing and calculating depth, area and volume indexes of a pit slot under the optimal parameter combination; finally, performing a reliability test on the reliability of detecting equipment and a detecting method. The pit slot three-dimensional index extracting and calculating method disclosed by the invention basically can meet a requirement of an actual pit slot test under existing equipment, and provides a reliable method for extracting and calculating three-dimensional indexes of the pit slot.

The invention discloses a method for calculating a random floating state of a ship on the basis of an STL (Stereo Lithography) model. The method comprises the following steps of calculating a midship draft TM, a heeling angle tangent value tan(Theta) and a trimming angle tangent value of the ship according to a conventional method; determining an equation of an inclined waterplane according to the midship draft, a heeling angle and a trimming angle; calculating a ship body displacement volume V under the waterplane and buoyancy coordinates (XB, YB, ZB); calculating barycentric coordinates (X'G, YG', Z'G) and buoyancy center coordinates (X'B, YB', ZB') of the ship under a fixed coordinate system; judging whether floating state equations meet a balance condition or not; performing three-parameter iterative calculation according to a fore draft, an aft draft and the heeling angle if the floating state equations do not meet the balance condition. The invention provides a three-parameter iterative method for calculating the floating state of the ship under any loading condition on the basis of the STL model, which has the features that the transverse inclination and longitudinal inclination of the ship can be calculated simultaneously, the method is suitable for any floating state of the ship, and the calculation precision is improved. The method disclosed by the invention has the advantages that the calculation quantity is reduced, the displacement volume and buoyancy center of the ship under any floating state are only calculated, and a program is strong and stable.

The invention provides a comprehensive risk priority number calculating method for architecture. Three risk factors (the appearance frequency, the severity degree and the discovery index) in FMEA are evaluated in the mode that fuzzy numbers are utilized in software architecture in a leveled mode; the appearance frequency and the discovery index are determined through component complexity and expertise, and the weights of different risk factors are distinguished through the conception of information entropy; through the conceptions of a positive ideal solution and a negative ideal solution in a TOPSIS method, a more reasonable and accurate risk priority number rank is obtained; in this way, a comprehensive software-failing mode risk factor evaluation technology for the architecture is achieved. By means of the comprehensive risk priority number calculating method, at the initial software design stage, developers are helped to find out potential design defects in a system, and therefore the subsequent software development quality is guaranteed.

The invention relates to a rotational freedom frequency response function estimation method based on the response coupling technology. The method is mainly suitable for estimation of rotational freedom frequency response function in a complex mechanical structure. The method includes: utilizing the receptance coupling technology, estimating rotational freedom frequency response function according to needs, decomposing the complex mechanical structure into a substructure A and a substructure B, choosing a first measuring point, at a position convenient for measuring, on the substructure A, and choosing a second measuring point on a joint surface of the substructure A and the substructure B; utilizing the hammer impact excitation method to measure frequency response function of three translational freedom degrees, and solving a frequency response function matrix on the joint surface of the substructure A and the substructure B; and calculating to obtain all frequency response functions at the two measuring points related to rotational freedom. The rotational freedom frequency response function estimation method based on the response coupling technology is convenient to implement and accurate in calculation result and provides another effective technology for estimation of rotational freedom frequency response function.