44results about How to "Division to achieve" patented technology

The invention, which relates to the field of the intelligent traffic technology, provides a smart lane dividing method and device based on a microwave radar echo signal. The method comprises: according to data collected by a radar system, determining vehicle target sample point data including a first sample point coordinate set representing a distance between the radar system and a target vehicle, amplitudes of various sample points in the first sample point coordinate set, and energy distribution data of the first sample point coordinate set; on the basis of the energy distribution data of the first sample point coordinate set, selecting a second sample point coordinate set with amplitudes larger than a dynamic threshold value from the first sample point coordinate set by using a statistical-characteristic-based threshold processing method; with a sample-density-feature-based dynamic radius extraction method, processing the second sample point coordinate set and extracting effective sample points from the second sample point coordinate set; and carrying out clustering on the effective sample points by using a kernel-similarity-based dynamic clustering algorithm to generate a clustering result, and determining a central line of a lane.

The present invention discloses a network community division method based on simulated annealing genetic algorithm, and mainly solves problems of poor search capability and low division efficiency in present genetic algorithm. The network community division method based on simulated annealing genetic algorithm comprises the following realizing steps: (1) reading in a network diagram; (2) generating an adjacent matrix according to the network diagram; (3) initializing genetic algorithm parameters; (4) decoding chromosomes and calculating objective function values; (5) selecting chromosomes with relatively large objective function values to form a parental population; (6) crossing and varying chromosomes and generating new chromosomes to form progeny populations; (7) initializing simulated annealing algorithm parameters and implementing a local search; (8) obtaining a next parental population and performing iteration; (9) determining whether or not the iterative algebra reaches the largest algebra Gmax; if the iterative algebra reaches Gmax, then the iteration is terminated and the chromosome with the largest objective function value is output, and division of every node in the output chromosome is a final division result of nodes in the community. The network community division method based on simulated annealing genetic algorithm has advantages of strong search capability and high accuracy.

The embodiment of the invention discloses a lithofacies division method for the shale based on Fisher discriminant analysis. According to mineral compositions, a sedimentary structure and organic matter contents, mud rock lithofacies division is carried out to obtain a mud rock lithofacies division class result; a logging identification mode pattern of the mud rock lithofacies is established and awell logging curve class reflecting the lithology of the rock is selected based on the logging identification mode pattern; Fisher discriminant analysis is performed by SPSS software; on the basis ofcore logging data, a mud rock lithofacies class is determined and, the well logging curve reflecting the lithofacies characteristics is selected, and a lithofacies determination classification equation is established; according to a well logging curve of an unknown lithofacies, a function value of the lithofacies discriminant classification equation is obtained; and on the basis of the function value, a mud rock lithofacies division class to which the unknown lithofacies is determined. According to the invention, for the well section being lack of data like the core, logging, and diffractionanalysis, the mud rock lithofacies can be divided in details by using the lithofacies determination equation based on the well logging data, thereby improving the division precision and promoting theoil exploration.

The invention discloses a network learning group division method based on the similarity of learning generation networks. The method comprises the following steps of 1) establishing a user knowledge point association network, and calculating the time sequence relevancy of an i+1th knowledge point and previous i knowledge points in a user learning sequence; 2) constructing the learning generation networks of users; 3) acquiring the content similarity PLGNCntDis ux.uy between PLGNux and PLGNuy of the learning generation networks; 4) calculating the structural similarity PLGNStrDis ux.uy betweenPLGNux and PLGNuy of the learning generation networks of the users; 5) using a weighted sum result of the content similarity and the structural similarity as the overall similarity of the learning generation networks of the users, clustering the learning generation networks of the users by adopting a CURE hierarchical clustering algorithm based on the similarity according to the overall similarityof the learning generation networks of the users, and achieving network learning group division based on the similarity of the learning generation networks, wherein PLGNux, PLGNuy, PLGNCntDis ux.uy and PLGNStrDis ux.uy are all shown in the descriptions. According to the division method, the network learning group division is achieved by considering the leaning process and cognitive characteristics of the users.

The invention provides a grid division method and an apparatus thereof. After a first wireless communication environmental parameter of UE and a second wireless communication environmental parameter of a base station are acquired, based on the first wireless communication environmental parameter and the second wireless communication environmental parameter, user grid division is performed on a geographical position set of corresponding UE so as to acquire a user grid of the UE. Then, from the user grid of the UE, an effective user grid is acquired. And then a superposed area of all the effective user grids corresponding to a same cell is served as a cell grid. Based on the wireless communication environmental parameters, an internal scope of a cell is divided.

The invention provides a cycle division method and apparatus of a sedimentary stratum. The method comprises: pretreatment is carried out on obtained data reflecting an original stratum sedimentary environment and a lithological change to obtain pretreatment data; empirical mode decomposition is carried out on the pretreatment data to obtain a plurality of intrinsic modal functions; conversion is carried out on each intrinsic modal function to obtain an instantaneous frequency curve corresponding to the intrinsic modal function; according to the instantaneous frequency curve, a Milankovitch cycle curve is obtained; on the basis of the Milankovitch cycle curve, an accommodating space changing curve is obtained; and according to the accommodating space changing curve, an accommodating spatialascending half cycle and an accommodating spatial descending half cycle are obtained. According to the division method, the calculation process is objective and the influence on the process by the human factor is low. And the division method has high operability.

The invention belongs to the field of public transportation scheduling, and discloses a k-means algorithm-based intelligent public bike dispatching system area division method which is applied to areadivision of intelligent urban public bike dispatching systems so as to obtain area division schemes with minimum demand quantity absolute value sums. The method comprises the following specific stepsof: 1, carrying out area division on public bike stations by using a k-means algorithm; 2, carrying out statistic on a scheduling demand quantity of each station; 3, carrying out secondary area division on marginal stations in areas, the scheduling demand quantity absolute values of which exceed 20; and 4, generating a final area division scheme. According to the method, geographic positions andscheduling demand quantities of stations are sufficiently utilized and self-mobility of bike systems is considered to reasonably divide public bike scheduling areas, so that scheduling can be satisfied in more areas, the generation of cross-area scheduling tasks is decreased, and the timeliness of scheduling can be improved.

The invention relates to a structural arrangement system of an ahead driving region in an air-conditioning state of an 18-m rapid bus. A floor frame from a front door passenger zone to a driving zone is in a concave floor structure which is one step higher than the passenger zone, the left side and the right side of the concave floor structure are respectively provided with two passenger seats facing to the middle, an openable movable guardrail is arranged in front of the passenger seats, and the front-middle part of the movable guardrail is provided with an engine cover of which the bottom is in a Z-shaped high-low structure; the right side of an engine is respectively provided with a power steering oil holder, a defroster, an auxiliary water tank and a compressor from the front to the back, wherein an overhaul box is arranged at the upper parts of the defroster, the auxiliary water tank and the compressor and is divided into a front space and a rear space which are respectively provided with an overhaul door, the front overhaul door corresponds to the defroster and the auxiliary water tank, and the rear overhaul door corresponds to the compressor; and a bus body framework in front of a right front wheel is provided with a rapid overhaul door for tensioning and overhauling the compressor, and the rear part of the right front wheel is provided with an air filter arranged in the middle of an air inlet of the engine and an air inlet of a bus body.

The invention discloses an online community partitioning method based on genetic algorithm and priori knowledge, mainly solving the problems in the prior art, such as poor portioning stability, low accuracy rate and low efficiency. The online community partitioning method comprises the steps of: 1, reading an actual network diagram in to generate an adjacent matrix; 2, setting initialization parameters; 3, randomly generating an initial population; 4, calculating a fitness value according to the adjacent matrix, selecting 450 chromosomes with the maximum fitness values as a parent population; 5, carrying out genetic manipulation on the chromosomes in the parent population, forming a child population; 6, partially searching the child population; 7, merging the parent population with the child population to obtain a new parent population; and 8, judging whether an operation algebra in the step 3 reaches 50, is so, ending the operation, and outputting partitioning results of all nodes in the chromosomes with the maximum fitness, namely community partitioning results. The online community partitioning method has the advantages of stable partitioning result, high partitioning accuracy rate and high partitioning efficiency.

The invention relates to a three-dimensional pavement disease PCI calculation method based on graph-point-graph transformation. The calculation method can directly calculate a three-dimensional pavement disease PCI through an RGB image, three-dimensional disease image screening is realized through a GA-CNN network, the RGB image is converted into a gray mapping graph containing distance information through the graph-point-graph transformation, the three-dimensional features of the three-dimensional disease are extracted by processing the two-dimensional gray mapping graph, and damage grading and PCI calculation are carried out. According to the calculation method, the two-dimensional image is recognized in the whole process, a large amount of calculation time and calculation power are saved compared with three-dimensional network processing of three-dimensional data, the workload is reduced by setting the GA-CNN algorithm, an accurate volume calculation mode is given, the gray mapping image generation precision is higher, the submillimeter pixel precision can be achieved, and rapid identification of three-dimensional disease types, accurate extraction of disease three-dimensional morphological characteristics and efficient grading of disease damage degrees are realized.

The invention provides an address division method and device and a computer readable storage medium, and relates to the technical field of data processing. The address division method comprises the following steps of:obtaining a target address from an address list; judging whether the target address and a preset address block meet a preset condition or not and obtaining a judgment result, whereinthe address block is used for storing the target address, the address block is stored in an address block list; and finally, storing the target address in the target address block according to the judgment result, the target address block being corresponding to the judgment result. Whether the target address and the preset address block meet the preset condition or not is judged and then the target address is stored in the corresponding target address block according to the judgment result, so that address division is realized, unwanted addresses are prevented from being read when the terminalreads the address block, the time spent on reading the unwanted addresses by the terminal is reduced, and the efficiency of reading the addresses by the terminal is improved.