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144 results about "Geometric space" patented technology

Method and system for monitoring paving thickness of high-level highway pavement in real time

ActiveCN103866673ARealize full-section acquisitionReduce one-sidednessUsing optical meansRoads maintainenceLaser rangingGeomorphology
The invention discloses a method and a system for monitoring paving thickness of a high-level highway pavement in real time, belonging to the field of road construction quality control. The method comprises the following steps: erecting an automatic tracking total station nearby a paving site, determining the position of an erection point through a resection survey method according to the known point coordinate, positioning and tracking a 360-degree prism according to enough short time interval by utilizing the automatic tracking total station, measuring the inclination angles of a transverse beam and a longitudinal beam of a platform trolley in the device by adopting an inclinometer, and measuring the distance from the transverse beam to the paved pavement by adopting a laser distance measuring sensor arranged on the transverse beam; calculating three-dimensional coordinates (x, y, z) of the position points of the paved pavement measured by each laser distance measuring sensor according to a spatial geometrical relation between each laser distance measuring sensor and the prism; projecting to obtain elevation z0 of the position point on a datum plane before paving; solving the difference between elevations z and elevation z0 to obtain the paving thickness; and judging whether the paving thickness at the position point accords with the control standard, otherwise, transmitting alarm information. The method is mainly applied to road construction quality control.
Owner:TIANJIN UNIV

Nearly copied image detection method based on multi-target matching

The invention discloses a nearly copied image detection method based on multi-target matching. The nearly copied image detection method comprises the following steps that step1, image preprocessing is performed, wherein local characteristic regions and characteristic vectors of all the characteristic regions are extracted from images selected from to-be-queried images and an image set respectively, and initial matching pair sets are screened according to the characteristic vectors of the characteristic regions; step2, characteristic geometric transformation space is established, similarity transformation matrixes corresponding to the initial matching pair sets are solved, wherein the characteristic geometric transformation space is obtained by just combining all the similarity transformation matrixes; step3, clustering is performed, wherein a nonlinear mean shift algorithm suitable for geometric space is used for gathering multiple independently distributed clusters in the characteristic geometric transformation space; step4, similarity magnitude is calculated, wherein the similarity magnitude of the images is defined according to the number of points in all the independently distributed clusters; step5, results are presented, the step1 to the step 4 are repeated, and after the steps are performed on the image data in the image set, result sets are detected according to similarity sequencing images.
Owner:NANJING UNIV

Encoding method, decoding method and system of two-dimensional code

The invention discloses an encoding method, a decoding method and a system of a two-dimensional code. The encoding method comprises the following steps of obtaining data information; processing the data information to obtain the byte type to-be-encoded information; carrying out first compression on the to-be-encoded information to obtain the first compressed data; according to the first compressed data, determining the information of the to-be-encoded data during second compression; according to the information of the to-be-encoded data, carrying out second compression on the first compressed data through an LDPC (low density parity check) code to obtain the second compressed data; according to the length of the second compressed data, the length of flag position and the length of the current version information, calculating the size of the to-be-generated two-dimensional code; and according to the size, the second compressed data, the flag information and the current version information, generating a two-dimensional image. The method or the system has the advantages that the capacity of information carried by the two-dimensional code is higher, and more information can be expressed in a limited geometric space.
Owner:人民数据管理(北京)有限公司

Structure-constrained two-dimensional gravity gradient and magnetotelluric joint inversion method

The invention relates to a structure-constrained two-dimensional gravity gradient and magnetotelluric joint inversion method. The method includes the steps of establishing a multi-component gravity gradient and magnetotelluric joint inversion objective function, calculating forward responses and Jacobian matrixes of a gravity gradient method and a magnetotelluric method, and obtaining a fitting difference value between forward response values and observed data. The multi-component gravity gradient method is introduced into joint inversion to replace a conventional gravity exploration method. The magnetotelluric method provides abundant frequency information and large exploration depth. The introduction of the method into the joint inversion effectively overcomes defects of poor gravity gradient and poor gravity vertical resolution and better enables a density inversion model to be recovered. The method of the invention is a joint inversion method based on cross gradient structure coupling. Compared with single inversion and other conventional physical coupling inversion methods, the method of the invention does not depend on rock physical relationships and can better recover a realmodel structure, whether in physical property numerical value or in geometric space shape.
Owner:JILIN UNIV

Low-orbit microsatellite formation system suitable for medium/high-latitude region coverage

The invention provides a low-orbit microsatellite formation system suitable for medium / high-latitude region coverage. According to the low-orbit microsatellite formation system, a surface projection principle is designed based on Flower constellation, all satellites constitute a compact geometric space configuration at the initial moment of a regression period, and the topological structure is ensured to have a periodical repeat property relative to all points on the ground; highly elliptical orbits which are completely the same in shape are adopted for all the satellites in the formation; and a plurality of permanent inter-satellite links are established under the condition of guaranteeing no link overlap inside the formation. According to the low-orbit microsatellite formation system provided by the invention, the complexity of a ground tracking control system can be reduced greatly, the optimization of inter-satellite links and the increase of communication reliability are facilitated, a favorable ground multi-coverage characteristic of medium / high-latitude regions is guaranteed, and the low-orbit microsatellite formation system has wide application values and development prospects in the field of space communication.
Owner:三亚哈尔滨工程大学南海创新发展基地

Distributed temperature testing system and method for hot dry rock deep well

The invention relates to a distributed temperature testing system and method for a hot dry rock deep well. The system comprises a distributed optical fiber temperature collection device, a logging winch, a well descending device and a temperature measuring optical cable, wherein the distributed optical fiber temperature collection device is used for completing collection of temperature along the temperature measuring optical cable and data processing; the logging winch is used for containing and transporting the temperature measuring optical cable and further used for providing a power source for fixed-depth and uniform-speed descending and winding of the temperature measuring optical cable; the well descending device is used for mechanical fixation and guidance for descending and winding of the temperature measuring optical cable; and the temperature measuring optical cable serves as a temperature sensing element and a data transmission channel. The system and the method achieve distributed temperature measurement of the hot dry rock deep well, and have the characteristics of resisting high temperature and high pressure, resisting electromagnetic interference, being free of limitation of severe environments like complex geometric space, and the like.
Owner:CENT FOR HYDROGEOLOGY & ENVIRONMENTAL GEOLOGY CGS

Method for simplifying vertex clustering of three-dimensional models with texture constraint

InactiveCN102509339AImprove binding abilityPreserve texture features3D-image renderingGeometric errorAlgorithm
The invention provides a method for simplifying a vertex clustering of three-dimensional models with texture constraint. The method comprises the steps of: expanding the vertexes from a geometric space to a fifth-dimensional space including texture coordinates in consideration of algorithm efficiency in the self-adaptive division processes of the vertexes; dividing the vertexes according to the positions of the vertexes in the geometric space and the texture space in the self-adaptive division processes of the vertexes; in error measurement, respectively computing geometric errors and texture errors, if the error value is more than a given threshold, splitting the current node; and in the self-adaptive division processes of the vertexes, in consideration of saving the storage resources and improving the algorithm efficiency, adopting the relatively important vertex in an original model as a clustering representative instead of computing the geometric position of a new vertex through iteration. The method for simplifying vertex clustering of three-dimensional models with texture constraint organically integrates texture error measurement and geometric simplification, realizes rapid simplification of a mass of complex three-dimensional models and supports efficient three-dimensional visualization of city virtual scenes.
Owner:WUHAN UNIV

Multiagent network finite time containment control method and apparatus

The invention provides a multiagent network finite time containment control method and apparatus. The method comprises the following steps: obtaining a minimum geometric space formed by a navigation agent by detecting the position of a barrier; determining an expected position and speed of a following agent during operation in the space according to a multiagent network topology and the position and speed information of the navigation agent; obtaining a relative position and speed between the following agent and the adjacent agent according to the topological connection situation between the following agents, and designing a finite time control protocol of the following agent according to the relative position and speed; and controlling the following agent to enter the minimum secure areaaccording to the finite time control protocol, and causing the following agent to move according to the expected position and speed. According to the multiagent network finite time containment controlmethod and apparatus, the coordinated security control of the multiagent network is guaranteed by few navigation agents provided with sensors; and second-order linear control based on the positions and speeds of the agents is adopted to effectively improve the fastness and stability of the nonlinear agent group coordinated control.
Owner:TSINGHUA UNIV

Triangulation-based data transmission system and transmission method for sensor networks

The invention relates to the wireless communication filed, discloses a triangulation-based data transmission system and a method for sensor networks, and solves problems of data transmission of the sensor networks that network stabilization between nodes is poor, quality of service (QoS) of links cannot be satisfied, and calculation of the nodes is complex in the prior art. The data transmission system comprises a neighbor node information collecting module, a data processing module and a data transmitting module, wherein the neighbor node information collecting module is used for collecting hello packets cyclically broadcast by neighbor nodes and including the neighbor node information, forming an information table of the neighbor nodes, and updating the information table of the neighbor nodes by monitoring statuses of the neighbor nodes; the data processing module is used for constructing a geometric space module between the nodes and the neighbor nodes through triangulation, forming a data transmission route between the nodes, and updating the triangulation to form a new data transmission route when the information table of the neighbor nodes changes; and the data transmission module is used for data transmission and management according to the data transmission route between the nodes. The triangulation-based data transmission system and the method for the sensor networks are suitable for data transmission under influence of the node movement factor.
Owner:MAIPU COMM TECH CO LTD

Potential target area detection method based on convolutional neural network and conditional random field

The present invention discloses a potential target area detection method based on a convolutional neural network and a conditional random field. The method comprises the following steps of: 1) performing color space and geometric space conversion of the scene images, taking the images as input of the neural network after de-mean processing; 2) constructing a structural network with fusion of a convolutional neural network and a conditional random field, and generating three-way output on the final convolutional layer of the convolutional network, wherein the first-way output is coordinates ofM candidate frames, the second-way output is the binary tag of each candidate frame, the third-way output is similar features of each candidate frame, the three-way output form input nodes of a total-connection conditional random field to obtain the posterior probability of each candidate frame through global optimization; and 3) performing non-maximum inhibition according to the posterior probability to obtain Top K final results. The potential target area detection method based on a convolutional neural network and a conditional random field can obtain a target area detection result with higher location precision and better robustness through optimization of multi-image input and the conditional random field.
Owner:SOUTH CHINA UNIV OF TECH
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