36results about How to "Fast and efficient solution" patented technology

A method of optimising a sequential combinatorial process comprising an interchangeable sequence of events uses a master model to model a selection of the possible sequences. Information derived from the master model is used in a surrogate model that approximates the master model. The surrogate model calculates all possible sequences using an algorithm to select information calculated by the master model that most closely matches the events of a present sequence, following a prioritised system so that the best match is used wherever possible. All results from the surrogate model are compared to identify the modelled sequence that gives results closest to a desired optimum result.

The invention discloses a protein folding optimizing method based on an ant colony algorithm. The method comprises the following steps that: firstly, ants are arranged in a left initial square grid and a right initial square grid by using a hydrophobic-polar model; then, amino acids in the protein are arranged into grids by the ants according to a pheromone and heuristic information, updating of the local pheromone is executed while the ants make a movement, if an occurrence of stasis occurs, a maintenance is performed to a corresponding pathway; finally, after all the ants complete a construction for protein folding pathways, updating for the global pheromone is executed. A protein structure with smallest free energy can be obtained by constantly repeating the steps. Compared with the prior algorithm for solving the problem of protein folding, the protein folding optimizing method provided by the invention has the advantages of high efficiency, quickness, etc.

The invention relates to a digital image based rapid solving method of circle parameters, which comprises the steps of: 1, acquiring an image of a measured object by using a digital image sensor to establish a plane coordinate system; 2, carrying out Histogram analysis on the image to determine a threshold suitable for separating a boundary of a circle to be measured; and carrying out region segmentation on the acquired image to set a square region including the circle to be measured; 3, selecting an inner point of the circle according to the threshold determined in the step 2, and searching from the point to obtain a point at the edge of the circle to be measured in the image; 4, setting a dynamic step length S, obtaining a point set sequence at the edge of the circle to be measured according to an edge point searching rule in the step 3; and 5, solving coordinates of the center of the circle and diameter parameters of the circle. The invention can be applied to the geometric parameter measurement of a circular pat or instrument in the fields of industrial detection, medical biology and the like, better solves the contradiction between speed and effect during solving the circle parameters in the digital image, and has high practical application value.

The invention provides a method for calibrating external parameters of 3D laser radar and inertial sensor in continuous time based on spline function, and provides a method for calibrating external parameters of 3D laser radar and inertial sensor based on continuous time. The method is divided into two stages. The first stage is to preprocess the 3D laser point cloud in the calibration data based on the known environmental map. The second stage is to model the trajectory of the high-frequency inertial sensor with a spline function as Continuous trajectory, the pose of the inertial sensor at any time is obtained based on the spline function, the external parameters between the 3D lidar and the inertial sensor are introduced, the laser points are constrained, and an optimization problem is constructed to solve it. The method uses the spline function to continue the trajectory of the inertial sensor, effectively solving the difficulty of tight coupling caused by the different measurement frequencies between the sensors. This method has lower requirements on the environment, and only needs to have an open corner. The calibration results obtained by the method of the invention can be directly applied to tasks such as robot navigation and unmanned driving, and provide basic conditions for multi-sensor data fusion.

The invention discloses a reactive power optimization method based on integrated learning, comprising the steps of: (1) determining system parameters. (2) Build a reactive power optimization model of the power grid; (3) Build an ensemble learning optimizer, the specific steps are: (3-1) select a sub-optimizer; (3-2) build an ensemble optimizer; (4) adopt ensemble learning optimization Solve the reactive power optimization model and formulate the reactive power optimization strategy. The reactive power optimization method based on ensemble learning designed by the present invention constructs an ensemble learning optimizer, and proposes a brand-new optimization solution idea.

The invention discloses a method for evaluating the anti-interference capability of a network system. The invention aims at evaluating whether the network system still can guarantee that the capability of connecting Original and Destination pairs (OD pairs) according to a path length meeting a preset value condition under the action of various types of factors. The method comprises the steps: firstly enabling the anti-interference capability of the network system to be converted into path length preset value ranges corresponding to all OD pairs; secondly simulating a natural ripple spread phenomenon, and carrying out one-off ripple spread relay race in the network, so as to solve all paths, meeting the corresponding preset value condition, among all OD pairs in the network (not just solving the shortest path among the OD pairs and not all paths among the OD pairs); and finally carrying out the statistic analysis of the sharing condition of nodes and links in the paths with the lengths meeting the preset value range condition. The method can be used for solving a problem of anti-interference capability evaluation of a physical network and an extract virtual network.

The invention belongs to the electron beam welding field, and particularly relates to an electron beam welding method of a special-shaped surface. The method comprises a first step of building a weld joint plane curve, wherein a trace curve of the weld joint to be welded is generated based on a three-dimensional model of a part to be welded; a second step of decomposing the curve, wherein the curve is decomposed according to the characteristics of the curve, and the decomposing principle is that the curve is decomposed to be straight-line segments and arc segments according to the weld joint curve; a third step of collecting and resolving spots, wherein an electron beam current focusing height, the translation of an electron beam welding machine main shaft on the Y direction, the rotating angle of the main shaft around a C axis and a rotary radius are resolved; and a fourth step of idling for commissioning, wherein a welding procedure is commissioned once in a manner of idling so as to verify the validity of the data in the third step; and if the data are correct, performing the welding with the parameters, otherwise returning to the second step to increase the number of the decomposed curves in curve decomposing. The electron beam welding method has the advantages that a weld joint trace equation is resolved fast and efficiently when the electron beam wielding is performed for a complicated special-shaped surface, and the welding is formed once.