37results about How to "With parallelism" patented technology

The invention provides aircraft route planning method and device on the basis of a pigeon colony algorithm and belongs to the technical field of unmanned aerial vehicle route planning and multi-attribute decision making. The aircraft route planning method includes the steps of: 1) firstly establishing a trace prediction model including uncertainty, and determining a to-be-optimized route in a specified region; 2) with the pigeon colony algorithm, performing iteration to obtain an optimized route through operations with a map and a compass and landmark operation, and finally outputting parameters of the acquired optimized route. Correspondingly, the invention provides an aircraft route planning device on the basis of pigeon colony algorithm, which includes: an acquirement module, a construction module, a determination module, an optimizing module and a memory module. The method and device can deduct and calculate the trace prediction model, so that a route acquired by the model has good stability and has robustness and availability; in addition, through the pigeon colony intelligent optimization method, a problem of complex continuous optimization is solved. The calculation and searching process has the characters of parallelism, availability and high robustness.

The present invention discloses a QIGA(quantum inspired genetic algorithm)-based discretized film system design method of a broadband EUV (extreme ultraviolet) multilayer film. The method comprises the following steps that: 1) the initial parameter values of the design method are inputted; and 2) quantum encoding is performed on the film layer deposition time of the multilayer film, so that an initial quantum group Q (t) can be generated; (3) observation states R (t) of quantum superposition states are constructed according to the quantum probability amplitude of the individuals in the initial quantum group Q (t); (4) whether a termination condition is satisfied is judged, if the termination condition is satisfied, the method stops and outputs an optimal solution, otherwise, the method continues; (5) the fitness of individuals in the R (t), which characterizes the deposition time of a discretized film system, is calculated, individuals corresponding the optimal deposition time of thefilm system are saved; (6) a quantum rotation gate is updated, and the updated quantum rotation gate is adopted to update the Q (t); (7) the Q (t) is observed, R (t) is generated and is evaluated, optimal individuals are retained; (8) the Q (t) is updated through a quantum NOT gate; and (9) an elite retention strategy is adopted, and the method shifts to step (4). With the method of the inventionadopted, problems such as low solution efficiency and high requirement for thickness control precision during film coating of an existing EUV multilayer film design method can be solved.

The invention relates to a method for optimizing a beer production formula. A conventional production formula is determined by a method which combines human experience and tests. The method comprises the following steps of: obtaining main raw materials in a beer formula; establishing a comprehensive production performance index estimation model according to the parameters of the raw materials, wherein main considered comprehensive performance indexes comprise saccharifying power, wort total nitrogen, wort alpha amino nitrogen, wort beta glucan and the thickness of a distilled grain layer of afilter tank; and optimizing a beer formula model by using a variable-metric ant colony optimization method and finally obtaining a production formula with the lowest cost. The method of the inventionhas the advantages of openness, robustness, parallelism and global convergence.

The present application provides a data-driven micro-fault diagnosis method and device, wherein the method includes: preprocessing the acquired test samples of the test aircraft to obtain the feature data set of the test aircraft, and the feature data The collection is input into the pre-trained fault diagnosis model to obtain the fault probability of various fault types of the aircraft to be tested. The fault diagnosis model includes an input layer, a time convolutional network layer and a Softmax classification layer. The maximum failure probability is selected in the failure probability, and the failure type corresponding to the maximum failure probability is determined as the target failure type of the aircraft under test. In this way, this application realizes the capture of long-term information through the introduction of time convolution network, which has the characteristics of parallelism and low memory, and helps to improve the speed of fault diagnosis of hypersonic aircraft.

The invention discloses a single-band matrix type DEM data progressive refined transmission method and system. The method comprises: segmenting DEM data, performing singular value decomposition, analyzing sub-slices, extracting effective singular vectors and singular values layer by layer, then performing compression, performing transmission and storage from a sending end to a receiving end layerby layer, and performing recovery at the receiving end. The system comprises a segmentation module, a decomposition module, an analysis and extraction module, a compression module, a transmission module and a receiving module. According to the method and the system, refined transmission under the control of precision parameters can be realized according to the requirements of actual precision, andthe specific requirements of numerical DEM data in the aspect of precision are met. After the DEM data fragments are compressed, the DEM data fragments do not need to be directly recovered to be in amatrix form at the receiving end and can continuously exist in a vector form, and the compression effect is reserved. When the data is recovered, the used calculation is basic calculation, so that the calculation burden is not increased, and the method has parallelism.

The invention discloses a Gamma adjusting and recalibrating method and a Gamma adjusting and recalibrating device of an OLED module based on a multi-objective relational mathematic model. The method comprises the following steps: (1) establishing an objective function; and (2) establishing a constraint condition, wherein R, G and B register values of all the binding points of the module are in positive linear or negative linear dependence, the multi-objective relation optimization is converted into single-objective optimization, the double-objective optimization is converted into single-objective optimization, and finally, the R, G and B register values corresponding to F are solved and are output to R, G and B registers corresponding to the gray scale binding point m in a module chip according to setting. According to the technical scheme, the diversified mode of gamma adjustment is supported, the features of platformization and parallelism are realized, and the method and the systemhave the advantages of efficiency and stability in adjusting and good gradual change effect. The experimental result shows that with the provided mathematic model, the complexity can be effectively reduced, the conventional algorithm is converted into algorithm and calculation, the adjusting and recalibrating efficiency is very ideal, and the problems including that the module is poor in consistency are solved.