179 results about "Skyline" patented technology

A Solar Access Measurement Device (“SAMD”) located at a predetermined position is disclosed. The SAMID may include a skyline detector enabled to detect a skyline of a horizon relative to the SAMD, an orientation determination unit enabled to determine the orientation of the skyline detector, and a processor in signal communication with the skyline detector and orientation determination unit.

The invention discloses a mountain fire image identification method of an image monitoring system of an electric transmission line tower. The mountain fire image identification method comprises the following steps that firstly, the forest fire danger rating is evaluated by means of data of a microclimate on-line monitoring system on the electric transmission line tower, and the image collecting frequency of the on-line monitoring system is adjusted according to rating evaluation; secondly, abnormal situations of an image are detected by the image difference principle; thirdly, skyline segmentation is conducted on the image; fourthly, whether the image has a flame region is judged; fifthly, whether the image has a smoke region is judged; sixthly, whether a fire occurs is judged. The mountain fire image identification method has the advantages that remote early warning of mountain fire of an electric transmission line is achieved, and safe and stable operation of the electric transmission line of an electric system is guaranteed.

The invention provides a high-rise residential area forced arrangement scheme generation design method based on a conditional generative adversarial network. The method comprises the steps of constructing a high-rise residential area conditional generative adversarial network structure model according to a design task book; Generating a data set under supervised pairing training and calling a Python language to adjust the picture size; Performing alternate iterative training on the network until a Nash equilibrium state is reached, and taking the high-rise residential area contour picture to be planned as an input condition to obtain a high-rise residential area forced arrangement scheme total plane graph; Calling a Python language to obtain a pixel gray scale value of the total plane graph so as to construct a high-rise residential area building geometric model; And establishing a building sunshine, fire-fighting performance and urban skyline combined evaluation system through computer simulation analysis and an expert evaluation method. The high-rise residential area forced drainage design scheme can be supported to make a decision, and meanwhile subjective and objective joint evaluation is carried out on the high-rise residential area forced drainage design scheme through building sunshine, fire-fighting performance and urban skyline analysis.

A location and orientation in an environment is determined by acquiring a set of one or more real omni-directional images of an unknown skyline in the environment from an unknown location and an unknown orientation in the environment by an omni-directional camera. A set of virtual omni-directional images is synthesized from a 3D model of the environment, wherein each virtual omni-directional image is associated with a known skyline, a known location and a known orientation. Each real omni-directional image is compared with the set of virtual omni-directional images to determine a best matching virtual omni-directional image with the associated known location and known orientation that correspond to the unknown location and orientation.

The invention discloses a spatial time sequence data stream application-based Skyline query method, belongs to the field of application of a dynamic Skyline query in a data stream, and aims to solve the problem in real-time query processing of massive data. According to the technical key points, the method comprises the steps of S1, segmenting a continuous time sequence into a plurality of time slices according to time windows based on spatial time sequence division; S2, for each time slice, generating a grid inverted index; and S3, mapping moment query points to corresponding Skyline grids, then obtaining global Skyline grids by using a global Skyline grid calculation method to serve as a candidate set, performing the dynamic Skyline query on network node data in the candidate set according to a time sequence, and performing calculation to obtain an effective global Skyline result. The method has the effects that the result query is performed at a moment when executive time is over, so that the result is more accurate and conforms to the actual condition.

The invention discloses a distributed parallel Skyline query method based on a vertical dividing mode and aims to provide a new Skyline query method for fully developing the parallelism of Skyline query processing and improving efficiency. The invention adopts the technical scheme that: the method comprises the following steps that: a distributed parallel computing environment which consists of a coordination node and N computing nodes is constructed, wherein the coordination node has a task scheduling program and a result analysis processing program, and the computing nodes have query processing programs; the coordination node executes the task scheduling program and distributes a Skyline query processing task to each computing node; each computing node executes the query processing program, receives the Skyline query processing task from the coordination node and performs Skyline query processing; and the coordination node executes the result analysis processing program to collect a Skyline set LS of all computing nodes and performs Skyline query processing on the Skyline set LS to obtain a final Skyline query result. By adoption of the method, load balancing between the computing modes can be effectively guaranteed, the accuracy of the Skyline query result is guaranteed, and query efficiency is improved.

The invention discloses a monocular computer vision technology-based target object distance measurement method and system. The method comprises the following steps of collecting a sequence image in front or back of a vehicle in real time through a camera; determining a reference height of a skyline according to the collected sequence image; taking a target with a constant physical size in the sequence image as a target object, and through a target detection method, determining a feature pixel size, used for distance measurement, of the target object; through an optical geometric model, determining the physical size of the target object; performing smoothing on a calculation result of the feature pixel size of the target object through a data smoothing method to output a stable physical size, and then calculating a real feature size of the target; and based on the calculated real feature size, performing calculation through the optical geometric model to obtain a distance of the target object. Multiple factors influencing distance measurement precision are considered more comprehensively, so that the calculation precision is improved.

The invention discloses a distributed parallel Skyline inquiring method based on a cloud computing environment, aiming at effectively preventing a node failure from influencing inquiring and processing processes of the distributed parallel Skyline. The technical proposal comprises the steps as follows: firstly, the clouding computing environment which consists of a portal node and N computer nodes is constructed, wherein a task management program and a result recovery program are arranged on the portal node, an inquire processing program and a fault processing program are arranged on the computer nodes; the portal node executes the task management program and transfers the Skyline inquiring request to each computer node; each computer node executes the inquire processing program and implements Skyline inquire processing; each computer node executes the fault processing program, and periodically detects and repairs the fault for the neighbor nodes; the portal node executes the result recovery program, collects a Skyline set of all the computer nodes, gathers the Skyline set and returns the Skyline set to users. By adopting the invention, the influences to the inquire processing process of the distributed parallel Skyline caused by the node failure can be effectively controlled, and high efficiency, reliability and accuracy of the Skyline inquire processing can be guaranteed.

The invention discloses a preference space Skyline query processing method based on a Spark environment. The method comprises a space Skyline query processing algorithm based on a preference functionand a space Skyline query processing algorithm based on preference priority. The method is scientific and reasonable;use is safe and convenient, the method comprises the following steps: through the effect of a space Skyline query processing algorithm based on a preference function; the spatial attributes and the non-spatial attributes of the data are integrated, and the data which does not meet the preference of any query point is filtered by utilizing the correlation, so that the size of a data set is reduced, the processing task amount is further reduced by utilizing the grid dominant relationship, and the query processing speed is increased; skyline query processing algorithm based on preference priority is used for clustering spatial data, keywords with high occurrence frequency in the class are used as text feature information of the whole class, and meanwhile, an extended R-tree index is established for spatial objects in the class; efficient space searching and filtering capabilities of the extened R-tree index are dominated and judged, so that Skyline query processing is accelerated.

The invention provides a hybrid spatial indexing mechanism for processing geographic text Skyline query, wherein geographic text Skyline query refers to performing Skyline query on a geographic text information dataset. Data points in the geographic text dataset include geographic position information and keyword text information. The Inverted-Merged R*-Tree (IMR*-T) integrates the R*tree and theInverted File thought, and the invention belongs to the query indexing field in computer science. The invention focuses on solution of the problem of storing the geographic text dataset and performingSkyline query on the geographic text dataset, can improve the Skyline query efficiency on the premise of ensuring reasonable storage. The invention constructs a multi-branch tree according to data point spatial position distribution by means of an R* tree construction strategy, and can construct an Inverted File for leaf nodes of the tree. To improve the clipping efficiency of the dataset, tree nodes store boundary frame information. The invention is widely suitable for relevant application scenarios of geographic text Skyline query.

The invention discloses a satellite/vision/laser combined urban canyon environment UAV positioning and navigation method, and belongs to the technical field of measurement and testing. The method comprises the following steps: acquiring a sky image by using an omnidirectional infrared camera; extracting partial data in the 3D city information to construct a city ideal skyline database; obtaining horizontal position information of the unmanned aerial vehicle by comparing building skyline information extracted from the infrared image with an urban ideal skyline database; determining height information of the unmanned aerial vehicle by laser ranging; constructing a building boundary sky map according to the initial position information of the unmanned aerial vehicle and the building boundaryinformation; superposing a building boundary sky map and a satellite sky map to mine a multi-path judgment rule; calculating the final position information of the unmanned aerial vehicle, interferencecaused by light rays such as night light weakening is avoided, the calculation complexity is reduced, image processing feature extraction is easy to achieve, errors and the calculation amount causedby direct scene matching can be reduced, and the requirements of all-weather flight and operation of the unmanned aerial vehicle can be met.

The invention discloses a method for quickly obtaining and measuring an orthophotoquad of a city skyline contour line facede. The method comprises the following steps of: shooting a local image of the city skyline contour line facede hop by hop by a camera with a coordinate obtaining device, and recording the coordinate direction and the lens orientation of the camera at each shooting time; obtaining the horizontal distance between each shooting point and an object to be shot; building a geometric mapping relationship between each shooting point and the object to be shot to generate the orthophotoquad of the city skyline contour line facede; and outputting measurement data of the orthophotoquad of the city skyline contour line facede in combination with the city skyline contour line facede and the orthophotoquad of the city skyline contour line facede. After the method is used, the image distortion error caused by the conventional technology can be reduced, and the measurement precision can be improved.

The invention discloses a dynamic Skyline query method based on cloud computing. The method is used for performing global Skyline lattice computing for dynamic Skyline query of mass data. The whole computing process is a DAG execution process, and obtained data points serve as a candidate set for dynamic Skyline computing; during dynamic Skyline computing, the data points in the candidate set are scanned, and the data points are converted into coordinates to convert dynamic Skyline computing into static Skyline computing with a query point being an origin of coordinates; in the DAG execution process, a Tez-based MapReduce operation is started, a Map function is utilized for parallel performance in all nodes, and the result is cached; next, another MapReduce operation is started to check the Skyline lattice dominance relation among the data points after conversion, Skyline computing is performed, and the result is returned. A polling mode is adopted to perform global Skyline lattice computing, Skyline computing is performed after effective pruning, and therefore a large amount of computing is saved.

The invention provides a method for computing multi-subspace Skyline queries and belongs to the orientation of data management and queries in the computer field. According to the method, firstly, in case of co-existence of multiple subspace Skyline queries in a database system, a sub-space cubic group structure is designed, and on the basis of the structure, a computation method capable of simultaneously processing multiple subspace Skyline queries, namely an MSSCA algorithm, is designed; the algorithm is capable of effectively solving the multi-subspace Skyline query problem. In the implementation process of the algorithm, a method of sharing Skyline result sets of child spaces is utilized thoroughly to directly put points that must be Skyline results of a parent space into the result set, and therefore, the times of judgment is reduced; besides, the algorithm is also capable of further reducing the times of dominance relation judgment by use of such methods as maximum value pruning and summating filtering; as a result, the efficiency is effectively improved. The method disclosed by the invention is capable of dealing with co-existence of multiple subspace Skyline queries in the database system and guaranteeing the efficiency of the algorithm by use of a series of sharing and filtering methods; in short, the method has a great practical application value.

The invention provides a dynamic deployment mechanism of a virtual machine under cloud environment. The mechanism is the dynamic deployment mechanism of the virtual machine and is characterized in that the resource states of the virtual machine and a server are evaluated, Skyline is used to query for one time to select a plurality of target physical machines which conform to a condition, a migration target physical machine is more accurately found from the plurality of target physical machines and the load balance and the use ratio of a physical machine system are comprehensively considered. The invention establishes a screening mechanism, improves accuracy for a dynamic deployment virtual machine to select the physical machine, lowers the repeated migration frequency of the virtual machine, improves the computation efficiency of a cloud computing platform and simultaneously lowers energy consumption.