45results 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 invention relates to an urban community structure mining method and device based on navigation data, belonging to the. Data data processing technology field, T. The invention discloses a method for providing taxi navigation data. clustering the get-off points, determining a center point of each cluster, and performing Thiessen polygon division on the hot spot area by taking the center point asa reference point to realize division of the city area, so that the distance between all sample points in the polygon and the reference point in the polygon is shorter than that between the sample points in the polygon and any other reference point; A; and abstracting the discretized hot spot areas into a graph, and gathering the divided areas with stronger connection through a clustering algorithm to form a community. According to the invention, good perceptibility of taxi operation behaviors to resident travel activities and urban dynamic characteristics is fully utilized; O; on the premiseof no expert knowledge, urban community structure characteristics can be automatically obtained in an unsupervised mode, and effective decision-making means and reference information can be providedfor reasonable urban function area planning, land resource utilization and road traffic construction.

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 relates to a method for realizing dynamic flowing unit division of a floodable development reservoir in an extra-high-water-cut stage. The method comprises the following steps of step (1) according to the existing relative permeability curve of an oil field, performing regression to obtain a relative permeability curve expression under the condition of different absolute permeabilities; and further performing calculation to obtain the water phase relative permeability of each mesh point; step (2) calculating a water phase seepage flow coefficient: performing calculation to obtainthe water phase seepage flow coefficient of each mesh point in a model by using the water phase relative permeability of each mesh point obtained in the step (1) according to the definition of the seepage flow coefficient; step (3) determining a division limit; drawing a water phase water phase seepage flow coefficient semi-log accumulation curve graph; finding two parallel sections (with small slopes which are almost zero) and one section with the larger slope in the two parallel sections to be used as the division limit of the dynamic flowing units; and step (4) judging the affiliated region of the mesh; on the basis of the division limit in the step (3), performing region judgment on the water phase seepage flow coefficient of each mesh; and further dividing the flowing units.

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 discloses an adaptive random neighborhood community division algorithm based on modularity optimization. By use of the algorithm, through a way of randomly extracting parts of neighborhood nodes to calculate a modularity gain, the nodes are moved to a community which can bring the maximum modularity gain so as to carry out community division on the network. The algorithm has the characteristics of being accurate, stable, high in operation speed and adaptive. The algorithm, a classic Louvain algorithm and a random neighborhood Louvain algorithm are verified in an LFR artificial reference map network and a plurality of demonstration networks, indexes, including the modularity, single-time operation time, mutation coefficients, equivalent operation time and the like, are used for evaluation, and a result highlights the adaptive characteristics of the algorithm and higher practical application efficiency.

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 embodiment of the invention relates to a dot matrix file segmentation method. The method includes the following steps that: display area information of display information corresponding to a first file with dot matrix information is recognized, wherein the display information is corresponding to the file data of the first file; the display information is divided into a plurality of pieces of display sub information according to the display area information, wherein the display sub information is corresponding to sub file data in the file data, so that the file data can be divided into the sub file data; and region coding is performed on the display sub information, and the display sub information is endowed with attribute information, and regional codes and the attribute information are utilized to form an attribute information table. According to the dot matrix file segmentation method provided by the embodiment of the invention, the display information is divided, so that the division of the data file is realized, and then, segmented dot matrix files are endowed with the attribute information according to the regional codes, and therefore, attribute statistics and summary can be facilitated. The method has the advantages of simple operation and high efficiency.

The invention relates to an uncooled two-color infrared detector MEMS chip, which is divided into four regions arranged in a matrix: the first and third regions and the second and fourth regions, and the first and third regions are formed with different heights from the second and fourth regions The resonant cavity, and the heat-sensitive layer films with different resistance values ​​are sputtered on it, which can better absorb infrared energy of different bands, and then convert it into electrical signals for processing and image output. The present invention also relates to a method for preparing the above-mentioned chip, including the steps of manufacturing resonant cavities of different heights in the first and third regions and the second and fourth regions respectively, the steps of sputtering the heat-sensitive layer films with different resistance values, and packaging In the step of testing, the chip can work in an ultra-low temperature (-80°C--60°C) environment and an ultra-high-temperature (85°C-100°C) environment.

The embodiment of the present invention relates to the technical field of game development, and specifically relates to a method and device for dividing a game scene area. The method is applied to a game server. Divide it into multiple pixels, and generate multiple orthographic projections along the first set direction, wherein the distance between the plane of each orthographic projection and the plane of the standard orthographic projection is different, and the distance between the planes of two adjacent orthographic projections is forming an interlayer, forming cylinders based on at least some of the pixels in the orthographic standard image, wherein the cylinders extend along the first set direction, and for each interlayer, obtain the first space formed by the intersection of the interlayer and the cylinder , and identify the first space as a game scene area, so that the game scene area can be divided efficiently and accurately.

The invention relates to an island division method and device for a power distribution network after fault under high-permeability distributed power supply. The method comprises the steps: calculatinga plurality of electric energy parameters of each time period in fault power failure time, verifying whether each time period meets a constraint condition or not, and searching an important load anda common load according to a certain principle, and achieving the dynamic balance of the power of the whole island by controlling the load, and further achieving the island division. Through the island division method provided by the invention, continuous and stable power supply of important loads in the fault period can be ensured, more other loads can be recovered, and the maximum power supply recovery benefit is realized.

The invention provides a storage method and system suitable for park big data. The method comprises the following steps: establishing a corresponding real-time storage space and an instant storage space according to the data type of each type of park data; establishing a real-time storage subunit at the real-time storage space according to the partition data, and establishing an instant storage subunit at the instant storage space according to the partition data; respectively adding different data updating logics for the real-time storage subunit and the instant storage subunit based on the interval information, and updating data in the real-time storage subunit and the instant storage subunit according to the data updating logics; and determining the position of the real-time storage space or the instant storage space in the initial storage display graph according to the numerical value of the level information to obtain a final data storage display graph. According to the method, different storage modes can be adopted according to different data types in the park big data, so that the subsequent information and data mining can be more targeted.

The present invention is a PCI calculation method for three-dimensional pavement diseases based on graph-point-graph transformation. The calculation method can directly calculate the PCI of three-dimensional pavement diseases through RGB images. The point map transformation converts the RGB image into a grayscale map containing distance information, extracts the three-dimensional features of the three-dimensional disease by processing the two-dimensional grayscale map, and performs damage classification and PCI calculation. The whole process of the calculation method is to identify and process the two-dimensional image, which saves a lot of calculation time and computing power compared with the three-dimensional network processing three-dimensional data. Setting the GA-CNN algorithm reduces the workload and provides an accurate volume calculation method to generate The grayscale map has higher precision, which can reach submillimeter pixel precision, and realizes rapid identification of 3D disease types, precise extraction of 3D morphological features of diseases, and efficient classification of disease damage degrees.

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 relates to a structural layout system for the driving area of ​​an 18-meter express bus in the air-conditioned state. The floor frame from the passenger area at the front door to the driving area is a concave floor structure with one step higher than the passenger area. Two passenger seats facing the middle are arranged on both sides, and movable guardrails that can be opened are arranged in front of the passenger seats, and an engine cover with a Z-shaped high-low structure is installed at the front and middle of the movable guardrails; Turn to the oil pot, defroster, auxiliary water tank and compressor, and install an inspection box on the upper part of the defroster, auxiliary water tank and compressor. The inspection box is divided into two spaces, front and rear, and each has its own inspection door. The defroster corresponds to the auxiliary water tank, and the rear access door corresponds to the compressor; the body frame at the front of the right front wheel has a quick access door for tightening and repairing the compressor, and the air filter is arranged at the rear of the right front wheel , the air filter is located in the middle of the engine air intake and the body air intake.