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632 results about "Scale model" patented technology

A scale model is most generally a physical representation of an object that maintains accurate relationships between all important aspects of the model, although absolute values of the original properties need not be preserved. This enables it to demonstrate some behavior or property of the original object without examining the original object itself. The most familiar scale models represent the physical appearance of an object in miniature, but there are many other kinds.

System and method for 3D photography and/or analysis of 3D images and/or display of 3D images

When 3D viewing means become much more available and common, it will be very sad that the many great movies that exist today will be able to be viewed in 3D only through limited and partial software attempts to recreate the 3D info. Films today are not filmed in 3D due to various problems, and mainly since a normal stereo camera could be very problematic when filming modern films, since for example it does not behave properly when zooming in or out is used, and it can cause many problems when filming for example smaller scale models for some special effects. For example, a larger zoom requires a correspondingly larger distance between the lenses, so that for example if a car is photographed at a zoom factor of 1:10, the correct right-left disparity will be achieved only if the lenses move to an inter-ocular distance of for example 65 cm instead of the normal 6.5 cm. The present invention tries to solve the above problems by using a 3D camera which can automatically adjust in a way that solves the zoom problem, and provides a solution also for filming smaller models. The angle between the two lenses is preferably changed according to the distance and position of the object that is at the center of focus, and changing the zoom affects automatically both the distance between the lenses and their angle, since changing merely the distance without changing the convergence angle would cause the two cameras to see completely different parts of the image. The patent also shows that similar methods can be used for example for a much better stereoscopic telescope with or without a varying zoom factor. In addition, the patent shows various ways to generate efficiently a 3D knowledge of the surrounding space, which can be used also for example in robots for various purposes, and also describes a few possible improvements in 3d viewing.
Owner:MAYER YARON +1

Pre-stack inversion thin layer oil/gas-bearing possibility identifying method

The invention provides a pre-stack inversion thin layer oil / gas-bearing possibility identifying method. The pre-stack inversion thin layer oil / gas-bearing possibility identifying method comprises the following steps of: (1) constructing interpreting data and logging data by utilizing earthquake, and establishing an initial elastic parameter model based on a deposition mode; (2) obtaining an initial model and a model restrain range of random inversion through determination inversion based on a Baysian principle; (3) carrying out random sampling on three-parameter-related Monte Carlo simulationestablished by utilizing rock physical diagnosis and regression analysis so as to obtain a logging scale model; (4) calculating to obtain an elastic parameter model under an earthquake scale by utilizing a Hash in-Shtrikman boundary average method; (5) simulating forwards an angular domain pre-stack earthquake record and a actual earthquake record to calculate a cost function and calculate acceptance probability of the elastic parameter model, and determining a new logging scale elastic parameter model according to the acceptance probability; (6) iterating repeatedly the steps of (3), (4) and(5) and determining an optimal logging scale elastic parameter mode as a final result of earthquake three-parameter pre-stack inversion; and (7) carrying out thin layer oil / gas-bearing possibility identification of an oil reservoir by utilizing a three-parameter three-dimensional space intersection method.
Owner:CHINA UNIV OF PETROLEUM (BEIJING)

Bondbeam cable-stayed bridge sensor layout method based on two-phase multi-scale model correction

The invention discloses a bondbeam cable-stayed bridge sensor layout method based on two-phase multi-scale model correction. By establishing a fine finite element model of a full bridge structure, the part easy to damage of the whole structure is determined, then the multi-scale finite element model with the part easy to damage being small-scale and other parts being large-scale is established, then the power characteristic of a real bridge is obtained through an environmental vibration test; the bondbeam cable-stayed bridge multi-scale finite element model is corrected by adopting a two-phase correspondence face method, a finite element model further approaching the structure of the real bridge is obtained, then the part easy to damage of the whole structure as well as monitoring content and monitoring position on structure overall correspondence analysis level are determined, and finally the layout sorts and layout positions of the sensors on the bondbeam cable-stayed bridge are determined. The bondbeam cable-stayed bridge sensor layout method ensures that a bondbeam cable-stayed bridge health monitoring sensor system is more reasonable, reliable and effective, and further faciliates the accuracy of the safety early warning and safety prevention of bridge health monitoring.
Owner:SOUTHEAST UNIV

Text clustering multi-document automatic abstracting method and system for improving word vector model

The invention discloses a text clustering multi-document automatic abstracting method and a system for improving a word vector model. The CBOW of the Hierachic Softmax belongs to the field of large-scale model training, and the CBOW of the Hierachic Softmax belongs to the field of large-scale model training. Based on the method, a TesorFlow deep learning framework is introduced into word vector model training; the problem of time efficiency of a large-scale training set is solved through streaming processing calculation, TF-IDF is introduced firstly during sentence vector representation, thenthe semantic similarity of a semantic unit to be extracted is calculated, weighting parameters are set for comprehensive consideration, and a semantic weighted sentence vector is generated; beneficialeffects are as follows. The advantages and disadvantages of semantics, deep learning and machine learning are comprehensively considered; density clustering and convolutional neural network algorithms are applied. Intelligent degree is high, according to the method, the statement with high relevancy with the central content can be quickly extracted to serve as the abstract of the text, various machine learning algorithms are applied to the automatic text abstract to achieve a better abstract effect, the method is possibly the main research direction in future in the field, and in addition, the system according to the invention supplies a tool for automatic extraction of a document abstract based on the method.
Owner:上海晏鼠计算机技术股份有限公司

Multifunctional three-dimensional model testing platform for roadbed slope and underground engineering

The invention provides a multifunctional three-dimensional model testing platform for a roadbed slope and underground engineering. The multifunctional three-dimensional model testing platform is composed of an underground groove body, a ground reaction wall, a ground groove body, a servo actuator, a loading plate, a middle separation plate, an underground water system and an artificial rainfall system, wherein the ground reaction wall is located at one end of the underground groove body; the ground groove body is mounted on the side wall of the underground groove body; the servo actuator is arranged between the ground reaction wall and the ground groove body; the underground water system is arranged in the ground groove; the artificial rainfall system and a shower nozzle are arranged above the ground groove body. The construction of the multifunctional three-dimensional model testing platform for the roadbed slope and the underground engineering can further improve an existing large-size foundation and slope model testing system, so as to provide a good testing platform for a large-scale model test of engineering projects including roadbed slope supporting structures, foundation treatment, tunnels, foundation pits and the like; the construction cost is reduced and the model testing efficiency is improved.
Owner:BROADVISION ENG CONSULTANTS

Device and method used for river and lake relation experimental research and suitable for river and lake intersection water system

ActiveCN103741641ASimulation is accurateAddressing deficiencies in monitoringHydraulic modelsScale modelWater level
The invention belongs to the field of hydraulic engineering simulation tests and particularly relates to a device and method used for river and lake relation experimental research and suitable for a river and lake intersection water system. The device used for river and lake relation experimental research and suitable for the river and lake intersection water system comprises a micro-scale river and lake model module, a model adjusting module and a river and lake relation measurement module. The device is specifically composed of a water and sand input port, a river channel micro-scale model, a lake micro-scale model, a lake opening gate, an electromagnetic water and sand separator, a lifting motor, a micro air pump, a roughness factor base pad, a ventilation hole, a spiral stirring pump, a water level gauge, a digital fluxmeter, a digital gauss meter and a surface magnetic distribution measuring instrument. According to the model test device, the invention further provides a method used for river and lake relation experimental research and suitable for the river and lake intersection water system. The method is suitable for an oversized dimension river and lake intersection water system prototype, quantitative physical analog simulation and river and lake relation space and time change measurement under the conditions of micro-scale three-dimensional space conditions.
Owner:HOHAI UNIV +1

Complex composite material structure equivalent material performance multi-scale calculating method

The invention provides a complex composite material structure equivalent material performance multi-scale calculating method comprising the following steps: using a scale-separating method to separate the structure into macroscopic, microscomic and microscopic scales, and respectively building analysis models on each scale according to geometry characteristics of different scale models; converting the three-scale problem into two multi-scale problems: a macroscopic-microscomic multi-scale problem and a microscomic-microscopic multi-scale problem, analyzing the two multi-scale problems in sequence, and finally returning an equivalent modulus of the microscopic multiple-scale problem to the macroscopic multiple-scale problem. A conventional structure analysis method is low in calculating efficiency and poor in precision; the novel complex composite material structure equivalent material performance multi-scale calculating method can solve said problems, thus effectively improving composite material structure performance prediction efficiency and precision, and the novel method can be applied to composite material production, research and development guiding works; the complex composite material structure equivalent material performance multi-scale calculating method can be applied to aviation spaceflight field complex composite material structure design and analysis, and structure design thermal and mechanics analysis in other composite material engineering fields.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Computing method of model parameters in icing wind tunnel experiment under supercooled large droplet condition

InactiveCN104268399AMeet the similarity requirementsSpecial data processing applicationsJet aeroplaneScale model
The invention discloses a computing method of model parameters in an icing wind tunnel experiment under a supercooled large droplet condition and aims at solving the problems that an existing parameter selecting method for a supercooled small droplet icing experiment does not function well if being applied to a supercooled large droplet icing experiment and that the real icing condition cannot be reflected by icing on a scale model of the airplane. The computing method of the model parameters in the icing wind tunnel experiment under the supercooled large droplet condition is capable of orderly giving the experimental parameters of a wind tunnel test section such as air velocity, average droplet grain diameter, air pressure, liquid water content, icing time and low supercooled water temperature corresponding to real icing flying conditions by use of a theoretical derivation and numerical computation method after determining the scale relation of the model and the real airplane. An aircraft icing wind tunnel experiment is performed according to the converted test parameters, and the experimental result and the real result are capable of meeting the similarity requirement on the major characteristics of the icing process. As a result, the computing method of the model parameters in the icing wind tunnel experiment under the supercooled large droplet condition is capable of obtaining the model parameters for the icing wind tunnel experiment; the corresponding parameters are capable of reflecting the real icing condition in the icing wind tunnel experiment.
Owner:AERODYNAMICS NAT KEY LAB

Infrared/laser radar data fusion target tracking method based on multi-scale model

Provided is an infrared / laser radar data fusion target tracking method based on a multi-scale model. The method comprises the steps that the multi-scale model is built; data collection is carried out on a target, and the distance measurement value, the azimuth angle measurement value and the pitch angle measurement value of the target are obtained; estimation is carried out on angle information obtained by an infrared detection system on a scale 1 through the unscented Kalman filter method; the angle estimation information and the distance information are fused on a scale 2; the target state is estimated through the Kalman filter method on the scale 2; the fused and estimated information is converted on the scale 1, filtering estimation is carried out on the scale 1 through the Kalman filter method, and an accurate filtering estimated value is obtained; the above steps are repeated, and a target movement track is obtained. The multi-scale model is quoted into information fusion, the target movement state is described more comprehensively and accurately, estimation filtering is carried out on the target on different scales, the estimation precision of the target state is improved, and the target tracking precision is improved through information interaction between different scales.
Owner:XIDIAN UNIV
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