Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

83 results about "Random structure" patented technology

Preparation method of bio-ceramic coating titanium-wire sintering porous titanium artificial bone

InactiveCN101889912AHave biological propertiesBiologically activeBone implantCoatingsFiberPrincipal stress
The invention discloses a preparation method of a bio-ceramic coating titanium-wire sintering porous titanium artificial bone, belonging to the biomedical engineering field. In the invention, a three-dimensional weaving method is utilized, a titanium metal fiber wire is constructed into a controllable structure model, a random structure model and a bionic structure model which can stimulate the bone trabecula and principal stress line of a human bone, and then is prepared into the porous titanium artificial bone through prepressing molding and vacuum sintering, after that, a sol-gel method is utilized to manufacture a gradient coating or a complex coating on the surface of the porous titanium artificial bone, so that the gradient coating transiting from titanium dioxide to bio-ceramics or the bio-ceramics-titanium dioxide complex coating is formed on the surface of the porous titanium artificial bone to obtain the bio-ceramic coating titanium-wire sintering porous titanium artificial bone. The preparation method not only can protect the titanium metal skeleton and prevent titanium ions from dissociating to enter a human body, but also can ensure that the titanium metal skeleton the surface of which is coated with the bio-ceramics has the biological characteristics, therefore, the bio-ceramic coating titanium-wire sintering porous titanium artificial bone can be applied to repairing clinical segmental defect of long bones.
Owner:SHANGHAI JIAO TONG UNIV

Mach-zehnder type silicon optical waveguide switch based on narrow slit wave guide

The present invention discloses a Mach-Zehnder type silica optical waveguide switch based on narrow slit waveguide. After the wave splitting of the 3dB coupler which realizes power splitting function at the input end, a first group of two spot-size converting structures are respectively connected to the interference arms of two narrow slit waveguide structures, and then are connected to the output-end interference coupler through a second group of two spot-size converting structures. A random-structure 1*2 and 2*2 optical switches are formed through the different combination of two groups of spot-size converting structures. The present invention leads to a narrow slit waveguide and fills a low refraction ratio electrooptic material in the narrow slit. The modulation facility is enlarged, and the conventional indirect electrooptic modulation of carrier injection is switched to a direct electrooptic modulation. Besides, the silicon waveguides which are at two sides of the narrow slit and are electrically insulated naturally are taken as electrodes and the distance from the electrode to the modulation area is shortened. The two characteristics can equally increase the modulation efficiency of the switch. The whole structure is compact in dimension. The invention is compatible to the CMOS processing technique and provides a novel approach for the realization of the single-chip integrated high-speed electrooptic switch.
Owner:ZHEJIANG UNIV

Electrode critical coronal voltage predicting method on basis of characteristic quantities of electric fields

The invention discloses an electrode critical coronal voltage predicting method on the basis of characteristic quantities of electric fields, which comprises the following steps: firstly, measuring critical coronal voltage data of typical electrodes which are of different structures and defining a non critical coronal voltage interval and a critical coronal voltage interval; then carrying out electric field calculation on gaps between the typical electrodes which are of different structures and extracting the characteristic quantities of the electric fields so as to construct a training sample set; nextly, on the basis of the training sample set, constructing a critical coronal voltage predicting model, wherein the critical coronal voltage predicting model uses the characteristic quantities of the electric fields as inputs and uses the non critical coronal voltage interval and the critical coronal voltage interval as outputs; and finally, predicting critical coronal voltages of the electrodes by adopting the critical coronal voltage predicting model. The electrode critical coronal voltage predicting method is simple to operate, has high predicting accuracy and is suitable for predicting the critical coronal voltage of the electrode which is of a random structure; and a predicting result can provide reference for structural design and structural optimization of a power transmission line, fittings, an electrostatic dust collection device and the like.
Owner:WUHAN UNIV

Method for generating random structure of continuous fiber composite material and predicting elastic performance of continuous fiber composite material

The invention provides a method for generating a random structure of a continuous fiber composite material and predicting the elastic performance of the continuous fiber composite material. The method comprises the following steps: generating a fiber model by a particle swarm algorithm, and optimizing the fiber model according to fiber jumping treatment to obtain particle space random distribution information for generating a three-phase RVE finite element model; and performing finite element simulation operation on the three-phase RVE finite element model to obtain a prediction result. Based on a representative volume element generation strategy of the particle swarm algorithm, the distance among fibers is controlled by the particle swarm algorithm in the process of generating the representative volume element, the requirement for the material volume percentage is fulfilled while fiber random distribution is ensured; and based on efficient generation of the representative volume unit and a homogenization theory, an elasticity prediction finite element model is established, a periodic boundary condition is applied, and the elasticity performance prediction result of the material can be obtained by microscomic finite element simulation, so that the efficiency of elasticity performance prediction is improved.
Owner:SHANGHAI JIAO TONG UNIV

Low density parity check (LDPC) code check matrix construction method and corresponding matrix multiply operation device

The invention relates to a low density parity check (LDPC) code check matrix construction method and a corresponding matrix multiply operation device. The method comprises the following steps that: determining the length n*L of a code word, the size L of a circulating replacement sub-matrix, a code rate L and number of rows m*L of a check matrix, wherein the size Hb of a basic matrix is m*n, the size H of the check matrix is mL*nL; determining best distribution of the check matrix H; constructing a basic matrix Hb with maximal loop length; exapdning the obtain basic matrix Hb to a quasi-cyclic-low density parity check (QC-LDCP) code with the loop length being maximized by selecting an appropriate movement factor, and determining the entire check matrix H by selecting the movement factor with element of a 1 position in the basic matrix Hb. The device comprises a check parity generating unit, an information sequence generating unit, a segmenting unit and a multiply unit. Due to the adoption of the method and the device, the coding complexity is reduced, the LDPC code with an error check performance being very approximate to a random structure is obtained, and simultaneously the realization complexity of the LDPC code is reduced.
Owner:上海新微科技发展有限公司

Random structure conformal Hash information retrieval method

The invention relates to a random structure conformal Hash information retrieval method. The random structure conformal Hash information retrieval method is characterized by including the steps of (1) protecting important structures of high dimensional data, conducting dimensionality reduction on original high dimensional data through a provided objective function, and accordingly obtaining low dimensional data; (2) calculating a basic dimensionality matrix and a low dimensionality matrix of the original high dimensional data through obtained updating rules of basic operators U and the low dimensional data V; (3) setting a threshold value, converting low dimensionality real number expressions in a training set into binary codes, and calculating Hash codes of a testing sample through probability statistics disaggregated model logistic regression; (4) calculating the Hamming distance, namely XOR operation, between the training data and the testing sample, and obtaining final results. By means of the random structure conformal Hash information retrieval method, on the basis that distribution of random data and the local and overall structures of the high dimensional data are protected, a Hash function is successfully obtained through the multivariable logistic regression, surpassing sample expansion can be achieved, and the random structure conformal Hash information retrieval method is suitable for computer visions, data mining, machine learning or similar searching fields.
Owner:NANJING UNIV OF INFORMATION SCI & TECH

Anti-counterfeit label for random three-dimensional mirror surface graph and preparing method thereof

The invention discloses an anti-counterfeit label for a random three-dimensional mirror surface graph and a preparing method thereof. The preparing method comprises the steps that a substrate layer is prepared; a random three-dimensional mirror surface layer is manufactured on the substrate layer; a random graph information enhancing layer is manufactured; the manufactured random graph information enhancing layer is bonded to the random three-dimensional mirror surface layer through a binding agent; a graph layer is printed on the surface of the random graph information enhancing layer; the substrate layer, the random three-dimensional mirror surface layer, the random graph information enhancing layer and the graph layer are sequentially arranged from bottom to top. The random three-dimensional mirror surface layer and the random graph information enhancing layer are of three-dimensional random structures completely, and different kinds of graph information are obtained under different light conditions, and can not be copied at all; when people try to transplant the label, the substrate layer will be fractured to cause damage to the random three-dimensional mirror surface layer, so that the graph information characteristic of the label is damaged. The anti-counterfeit label has the advantages of being high in anti-counterfeit strength, can not be copied or transplanted, and has wide application value in the technical field of counterfeit prevention.
Owner:HANGZHOU WOPUWULIAN SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products