31 results about "Structural index" patented technology

The invention relates to a high-spatial resolution remote sensing image-based road region building change extraction method and device. According to the method and device, an object-oriented image processing strategy is adopted, the spectral information and spatial information (including structural indexes and spatial relationships) of images are comprehensively utilized, and a single-class classification method is adopted. In order to avoid interference (spectral similarity) on extracted results caused by ground feature classes except road regions, it is required that existing road information such as an existing road vector diagram, is provided in advance; the existing road vector diagram is adopted to extract a road region range; and newly increased buildings are extracted within the road region range. With the high-spatial resolution remote sensing image-based road area building change extraction method and device provided by the invention, time for a traditional method to obtain newly increased buildings such as illegal buildings by using image visual interpretation can be greatly decreased, efficiency can be improved, and human resources can be saved. The method and device can be used for road maintenance and monitoring business operation systems.

The invention discloses a multi-keyword orderable ciphertext retrieval method for cloud computing. According to the method, document keyword sets are grouped through a grouping method, a correspondingB<+> index tree is constructed for each reverse keyword set document vector set, the index tree is uploaded to cloud after being encrypted based on an improved KNN query algorithm, retrieval result sets are ordered through a TF-IDF model after a query trap door is uploaded, and the first k documents with the highest relevancy score are returned to a user. The method has the advantages that the B<+> tree is lower than other structural trees; since retrieval efficiency and height are increased in direct proportion, the efficiency difference can be more obvious along with increase of the document sets and the keyword sets; by the adoption of the method of grouping construction of B<+> tree structural indexes, retrieval speed can be greatly increased; and through relevancy score comparison, on the premise that result sets meet a demanded quantity, whether to continue to retrieve subsequent nodes of current tree nodes is judged in advance, and therefore retrieval efficiency is further improved.

The invention relates to a remote sensing image road intersection extraction method based on structural index characteristic, and the method comprises the steps: a to-be-detected intersection position set is acquired according to line intersection information in a road network vector; an intersection image slice is acquired according to the intersection position and a buffer radius, and a multi-directional morphological filter is adopted to perform enhancement processing to remove obvious small-size interference ground objects. The intersection structure detection is mainly divided into two levels to execute, and the two levels include plane intersection structure detection and road vertical intersection structure detection. When a plane intersection structure detection result is inconsistent with the intersection structure in a navigation road network, a fake detection result caused by separating vertical intersection is considered, and a road vertical intersection structure detection method is further adopted to perform further detection and verification. The composite road intersection structure widely existing is considered, a prior road intersection model is used as a constraint and can perform a structured organization on extracted adjacent road intersection.

The invention discloses an electric power system key section identification method based on an initial fault line cut set and especially relates to the electric power system fault detection technologyfield. The method is characterized by through defining the structural index of the cut set, an outage probability index and the percentage index of loss of load as a risk assessment index, using a direct current trend model to determine the initial load of each component and determining the cut point of a network; then, blocking a network topology map and disconnecting a determined initial faultline, and recalculating a trend; and searching the first K shortest paths which are seriously affected by initial fault line trend transfer in a same block, searching the cut set of the system based on the initial fault line in the first K shortest paths, calculating the risk assessment index value of the cut set and carrying out risk assessment on the cut set to accurately identify a key transmission section. The method can be realized without complex fault data processing. Compared with other electric power system key section method, the method of the invention is simple, rapid and is easy to realize.

The invention discloses an algorithm applied to recommendation systems and an implementation method thereof. The algorithm and the implementation method aim to implement individualized expert recommendation based on user preference, so that the recommendation systems are more open, recommended and multi-index. In order to achieve the purpose, the algorithm realizes three dimension indexes including a quality index, a structural index and a matching index for evaluating experts by the aid of a principal component analysis method and an extremum method of a linear non-dimensionalization method. The implementation method includes: firstly, preliminarily finding out the experts according to the quality index (a correlation factor Y1, an authority factor Y2 and an activity factor Y3) and the structural index (a sociality factor Y4), then computing a reachable index (a reachable factor Y5) of each expert, and finally, obtaining one final recommendation expert according to the experts and reachability thereof.

The invention provides a magnet second-order Euler inversion method and a scalar magnetometer array. 13 scalar magnetometers form a scalar magnetometer array, and a GPS or a high-precision inertial navigation system is installed; a search region of a magnet is determined, and the position coordinates of the magnet, estimated values of structural indexes and a mean value of total estimation valuesare calculated, and then a nearest neighbor integer value of the mean value is calculated to obtain an inversion value of the structural indexes of the magnet; solution center calculation and iterative screening are carried out on the position coordinate estimation values of the magnet on an updated Kth track section, so as to obtain an inversion value of the position coordinates of the magnet. According to the method, magnetometer array assembling and plane unit replacement are facilitated, and the position coordinates and the structural indexes of the magnet are simultaneously inverted by afirst-order magnetic gradient value and a second-order magnetic gradient value at a plurality of measuring points, the influence of a gross measurement error of the magnetic gradient on the inversionprecision is reduced, and subjective experience selection of the structural indexes and centralization processing of the gradient measurement data are avoided.

The invention relates to a basin giant system state analysis method and device, and the method comprises the steps: determining the boundary and structure of a basin giant system, dividing the basin giant system into a river subsystem, an ecological environment subsystem and a human economy subsystem, and building a basin comprehensive evaluation index system; collecting and cleaning index data of all evaluation indexes in the comprehensive evaluation index system within a preset time period; dividing the indexes into positive entropy change indexes and negative entropy change indexes based on a basin comprehensive evaluation index system and index characteristics, respectively calculating total entropy values, and calculating dissipation structure indexes of the giant system by utilizing a Brusser model; and calculating the basin development index of the giant system according to the dissipative structure index so as to evaluate the basin development quality. Through the technical scheme, a river control decision theory taking the basin development index as a decision basis is provided, the basin giant system evolution state and development quality are comprehensively evaluated, and technical support is provided for comprehensive treatment, system treatment and source treatment of the Yellow River basin.

A method for measuring surface intercellular spaces of baked tobacco leaves by means of software Photoshop is characterized that the method is a quantitative method provided for evaluation of structural indexes of the baked tobacco leaves and including: acquiring a 450-times multiplied image of a surface cell structure of initially-baked tobacco leaves by the aid of a scanning electron microscope, reading total pixel value of the image by the Photoshop software, selecting an intercellular space portion accurately by means of a magic wand, a masking, a brush, an eraser and the like, and computing surface intercellular space rate of the tobacco leaves by the ratio of pixel value of the intercellular space portion to the total pixel value of the image. The method for measuring surface intercellular spaces of the baked tobacco leaves has the advantages that by acquisition of the scanning electron microscope and processing of the Photoshop software, quantitative data of the intercellular spaces of the tobacco leaves are acquired so as to evaluate the structure of the tobacco leaves objectively. According to continuous multi-times measuring results of tobacco leaves from different production places, the method is high in accuracy, the variation coefficient of the measured results of the same sample is kept within 2.5%, and fit goodness of the evaluation results and the judgment results of specialists is high (R2=0.98).

The invention relates to a forest health assessment method, in particular to a forest health assessment method based on an entropy weight-cloud model. The scheme of the invention comprises the following steps: 1) constructing a judgment matrix; 2) performing index standardization processing; 3) calculating the entropy of each index; 4) constructing a normal cloud model; 5) selecting a structural index, a vitality index, a sustainability index and an anti-interference index in the normal cloud model for evaluation; and grading the forest health state. According to the forest health assessment method based on the entropy weight-cloud model, a traditional forest health evaluation mode is changed, randomness and fuzziness of evaluation indexes and evaluation results are considered, and the evaluation results are more objective and close to the actual situation. The uncertainty mapping between evaluation indexes and evaluation grades is realized, and a new thought and method are provided for scientific evaluation of forest health.

The invention discloses a large-span steel structure index change prediction method based on a finite element analysis method, and the method comprises the following steps: 100, obtaining the original index data of a large-span steel structure, and storing the original index data in an Excel table; step 200, establishing a function model according to the index data parameter range, and establishing a finite element node model by adopting large finite element software ABAQUS; step 300, importing the original index data table into the ABAQUS finite element node model, and automatically outputting node rigidity; and step 400, according to node rigidity parameters, analyzing influence weights of various factors, acquiring a data error prediction index by using a non-completely similar error prediction method, establishing an accurate node finite element model, analyzing the consistency between the model of the end plate connection node and prototype stress distribution, acquiring corresponding main influence factors, and finally establishing a node finite element model of the end plate connection node. By constructing an incompletely similar node model database, the similarity error prediction problem is layered according to specific conditions, the complexity of the model is reduced, and the prediction precision is improved.

The invention relates to a Flowable-based business flow management method and system. The method includes: corresponding work flow templates are set for different businesses, a business side generatesstructural index data according to business data, a work flow engine receives and stores the structural index data, the work flow engine reads business data according to the structural index data, and the work flow engine executes business work flow according to the business data and the work flow templates. The method is applicable to multiple complex businesses and capable of reducing repeatedworkload and increasing work efficiency.

The invention provides a distributed power supply large-scale grid-connected multi-target dynamic cluster division method and device. The method comprises the following steps: establishing a structural index and a functional index of distributed cluster division; combining the structural index and the functional index to form a multi-target comprehensive division performance index, converting the multi-target comprehensive division performance index into a multi-target extension time dynamic index, and dividing the multi-target extension time dynamic index according to a distributed cluster to obtain a multi-target extension time dynamic index; and obtaining a continuous extension time dynamic comprehensive performance index function, solving the comprehensive performance index function by using a genetic algorithm, and performing multi-target dynamic cluster division of the distributed power supply according to a solving result. According to the method, the power consumption problem between the DGs clusters and the influence of flexible resources on the interiors of the clusters are fully considered, and the comprehensive division performance index is converted into an expansion time dynamic index from a static index through mathematical derivation processing.

The invention discloses an evaluation and calculation method for the five structural indexes of forest spatial distribution. The method is characterized by comprising the steps of selecting No.1 wood as the reference wood; sequentially marking the horizontal distance Di of each tree, the di (diameter at breast height) of the tree, the height of the tree and the variety of the tree from small in a sequence with the horizontal distances Di (i=1, 2, ..., n) of all the trees from the reference wood to be from small to large; and calculating the density N, the average height, the average diameter at breast height, the average cross-sectional area, the seedling production amount and other parameters according to the generalized algorithm.

The invention discloses an object stability state evaluation method based on an umbrella-shaped three-dimensional structure, provides a construction scheme of an umbrella-shaped three-dimensional structure index system and a two-dimensional node evaluation calculation method, and constructs a basic framework of an umbrella-shaped three-dimensional evaluation theory. When evaluation is carried out based on an umbrella-shaped three-dimensional evaluation theory, the method specifically comprises the following steps: S1, analyzing influence factors of a to-be-evaluated object; s2, decomposing the condition of the object in the objective world; s3, constructing an umbrella-shaped three-dimensional structure index system model; s4, calculating the stability degree by using a two-dimensional node method; and S5, representing and evaluating the stable state of the object. The umbrella-shaped three-dimensional evaluation theory provided by the invention is a method for evaluating the stability of objects by combining umbrella-shaped structural properties and mathematical theories, can be referenced by scholars in different fields, and can be further applied to wider fields.