389results about How to "Retain structure" patented technology

A gas separation process uses a structured particulate bed of adsorbent coated shapes/particles laid down in the bed in an ordered manner to simulate a monolith by providing longitudinally extensive gas passages by which the gas mixture to be separated can access the adsorbent material along the length of the particles. The particles can be laid down either directly in the bed or in locally structured packages/bundles which themselves are similarly oriented such that the bed particles behave similarly to a monolith but without at least some disadvantages. The adsorbent particles can be formed with a solid, non-porous core with the adsorbent formed as a thin, adherent coating on the exposed exterior surface. Particles may be formed as cylinders/hollow shapes to provide ready access to the adsorbent. The separation may be operated as a kinetic or equilibrium controlled process.

The invention discloses a method for preparing large-size high-quality graphene with controllable number of layers, wherein graphite powder or flake graphite is mainly adopted as a raw material. The method specifically comprises the steps of intercalating the graphite raw material by virtue of an intercalating agent to initially weaken the intercalation interaction force and obtain different orders of graphite intercalation compounds (GICs); soaking the GICs in an appropriate expander, and then under the case that an auxiliary agent is added or not, enabling the intercalation materials to be quickly reacted with the expander to release a gases to obtain highly expanded wormlike graphene aggregate and further to cause the distances among graphene lamellar layers to be increased; and after certain processing, peeling, and then repeatedly centrifuging and dispersing to obtain a graphene dispersion with different numbers of layers. According to the method disclosed by the invention, the intercalation-expansion-peeling process is involved, raw materials are cheap, the reaction process is simple and easily controlled, and the number of layers of graphene is precisely controlled; the obtained graphene lamellar layers have the advantages of few defects, large size, high conductivity, high yield and the like, the large-scale industrial production is easily implemented, and the problems of high cost, low productivity, poor quality, small size, uncontrollable number of layers and the like in an existing graphene preparation technology are solved.

A number of unique processes are disclosed for manufacture of sintered high-purity quartz glass products in which a shaped silica body or preform is made from an aqueous slurry of micronized silica particles by gel casting, slip casting or electrophoretic deposition. The silica particles may comprise a major portion by weight of crystalline silica. In one embodiment of the invention the sintered quartz glass is transparent, substantially bubble-free and suitable for scientific or optical uses. In another embodiment the porous silica preform is fired in steam to increase the hydroxyl content and then nitrided in a nitrogen-hydrogen reducing atmosphere. A minute amount of chemically-combined nitrogen in the high-purity quartz glass is sufficient to provide a tremendous improvement in physical properties and an incredible increase in the resistance to devitrification.

The invention discloses a preparation method for a mixture of a polymer and graphene. The advantage that graphite powder and the polymer are both granular powder is utilized, a graphite layer is stripped in situ according to a dry ball milling method, and the mixture of polymer and grapheme is prepared. The preparation method particularly comprises the following steps: (1) premixing the graphite powder and the polymer; (2) conducting ball milling and stripping on the pre-mixture fully in a ball mill to prepare the mixture of the graphite powder and the polymer. The preparation method adopts the dry ball milling method, so problems in solvent recovery and pollution caused by methods of solution mixing, in situ polymerization, wet ball milling, and the like are avoided; meanwhile, the defect of uneven dispersion of the graphene during fusing and dispersing process is overcome, the technological operation is simplified, and promotion and use are facilitated; the mixture of the polymer and the graphene is suitable for polymer processing methods of extrusion, injection molding, mould pressing, blow molding, curtain coating, and the like.

Composite panel for air cargo containers including a fire resistant, closed cell foam core, a skin attached to each surface of the core formed by fire resistant fibers in a matrix resin, wherein the panel will contain an internal fire with temperatures of up to 1500° F. for a period of at least 4 hours.

The invention relates to a preparation method of a tissue engineering cornea, comprising the following steps of: by using epidermal stem cells and pluripotent stromal stem cells as seed cells, planting on the two surfaces of an acellular natural cornea stroma after in-vitro amplification culture; and then forming the tissue engineering cornea through in-vitro induction culture. A scaffold used inthe preparation method not only overcomes the problem of serious immunological rejection of an xenogeneic cornea stroma, but also retains the structure (capable of recovering the transparency of the cornea) and main components (comprising a growth factor capable of promoting the growth, the proliferation and the differentiation of cornea cells) of a natural cornea. Compared with a product of the prior art, the invention has low cost, simple and convenient operation, extensive sources and easy storage; and in addition, the tissue engineering cornea containing living cells has certain elasticity and toughness, easy changes on shape, size and thickness and extremely low immunogenicity, can prevent complications caused by non-corneal materials and be rebuilt by recipient cells when implanted in vivo and rapidly integrated with an organism to realize transparency and is suitable for repairing corneal injury caused by various reasons.

A support for a bearing that guides a shaft in a turbomachine is disclosed. The support includes an annular part made of a shape memory material which retains an initial shape when the load applied to it remains below a threshold value and which deforms, absorbing energy when the applied load becomes at least equal to the threshold value. The annular part is capable of reverting at least approximately to its initial shape when the applied load drops back below the threshold value.

A method of preparing a crystalline molecular sieve is provided, which method comprises

• • (a) providing a reaction mixture comprising at least one source of ions of tetravalent element Y, at least one source of alkali metal hydroxide, water, optionally at least one seed crystal, and optionally at least one source of ions of trivalent element X, said reaction mixture having the following mole composition:

Y:X₂=10 to infinity

OH⁻:Y=0.001 to 2

M⁺:Y=0.001 to 2

wherein M is an alkali metal and the amount of water is at least sufficient to permit extrusion of said reaction mixture;

• • (b) extruding said reaction mixture to form a pre-formed extrudate; and
  • (c) crystallizing said pre-formed extrudate under vapor phase conditions in a reactor to form said crystalline molecular sieve whereby excess alkali metal hydroxide is removed from the pre-formed extrudate during crystallization. The crystalline molecular sieve product is useful as catalyst in hydrocarbon conversion processes.

The invention discloses a roadside vehicle identification method based on vision and laser radar fusion. Aiming at the problem that the vehicle identification accuracy is low under different illumination conditions of a roadside visual angle, the method comprises the steps of: carrying out the calibration of a roadside environment sensing system sensor, including the self-calibration of a camera and the joint calibration between sensors, and laying a foundation for the information fusion of the sensors; fusing image information and radar point cloud data on a data level and a feature level, and building a roadside vehicle identification network model CBYOLO based on vision and laser radar fusion; then, training a CBYOLO network by utilizing the roadside data set; and finally, using the trained CBYOLO network to carry out roadside vehicle identification. The roadside vehicle identification method based on vision and laser radar fusion provided by the invention has good environmental adaptability and high accuracy.

The invention relates to a method for preparing tissue engineering cornea. Amniotic epithelial stem cells and mesenchymal stem cells are adopted as seed cells; after in-vitro induced differentiation, the seed cells are planted on both surfaces of a natural acellular corneal stroma; and the tissue engineering cornea is formed by in-vitro organ culture. A scaffold used in the method overcomes the difficulty of large immunological rejection of a xenogenic corneal stroma and reserves the structure (capable of restoring the transparence of the cornea) and main components (comprising growth factorscapable of promoting the cornea to grow, proliferate and differentiate) of the natural cornea. Compared with a product in the prior art, the cornea has the advantages of low cost, convenient operation, wide source and easy storage; and the tissue engineering cornea containing living cells has certain elasticity and tenacity, easy change of shape size and thickness and extremely low immunogenicity, avoids complications caused by non-corneal materials, can be reformed by receptor cells after being implanted into a body, can be quickly integrated with an organism for realizing transparency, and is suitable for restoring cornea damage caused by various reasons.

The invention, which belongs to the technical field of image information processing, discloses a high-spectral image classification method base on space spectral locality low-rank hypergraph learning. The method comprises: high-spectral data set is inputted and a spectral feature matrix X is formed; a correlated parameter is set and is fused into a space spectral locality constraint to construct a low-rank expression model of the pace spectral locality constraint; a correlated parameter is set and iterative solution is carried out by using an alternating direction method of multipliers; according to a coefficient matrix Z in the low-rank expression model, a space spectral locality low-rank hypergraph is constructed; a correlated parameter is set and a semi-supervised hypergraph learning model is established; and a correlated parameter is set, iterative solving of a semi-supervised hypergraph model is carried out, and a classification result matrix F <*> of a spectral feature data set X is outputted. According to the invention, a semi-supervised hypergraph learning algorithm is applied to final high-spectral image classification. Compared with other advanced methods, the provided method has advantages of good classification effect and high robustness for noises and image degradation.

The present invention is a dispenser that, in one embodiment, includes a support for a roll of web material, a drive roller cooperating with an idler roller to feed web material supported by the roll support, and a mouth through which the web material is dispensed which has a floor but not a roof such that the web material does not jam when dispensed through the mouth. In another embodiment, the mouth is slot shaped. In various embodiments of the invention with either a slot shaped mouth or a wide mouth without a roof, a sensor is provided for selectively activating a drive motor in response to an incursion into a sensing field, wherein the sensor comprises an infrared emitter and receiver.

The log dyeing method is one circular hot pressing dyeing and normal temperature and pressure dyeing method on log with water content not higher than 8 % and in proper length. The log dyeing process includes the following steps: compounding acid dye aqua; soaking at room temperature for 120-480 min; dyeing at 25-120 deg.c and 10-15 Mpa under stirring for 30-60 min; lowering to room temperature; dyeing at 25-120 deg.c and 10-15 Mpa under stirring for 30-60 min; and so on until reaching the total dyeing time of 600-900 min; washing with water; drying at 25-120 deg.c to water content not higher than 8 %; and discharging. The log dyeing maintains the natural grains of log, raises the density of timber, homogenizes the color of timber, and raises the value of timber.

The invention discloses a hyperspectral image denoising method and system based on adaptive rank correction and a medium. According to the hyperspectral image denoising method, a hyperspectral image denoising model based on adaptive rank correction is established for each matrix block degenerated hyperspectral image and a clean hyperspectral image initially estimated by matrix blocks. The adaptiverank correction penalty function is used to adaptively counteract the penalty of a nuclear norm to a large singular value, sparse noise is eliminated based on l2, 1 norm, an alternating direction multiplier algorithm is used to solve blocked clean images, and the blocked clean images are combined to acquire a final estimated clean hyperspectral image. According to the method, the problems that most existing hyperspectral denoising methods based on low-rank matrix recovery utilize nuclear norms to approach matrix ranks, so that singular values with large excessive penalty are caused, rank information is fixed, definition needs to be performed in advance, and the methods are inflexible can be solved. Gaussian noise, impulse noise, dead lines, stripes and other complex noise in the hyperspectral image can be removed.

A bond is created during gypsum board cure between a gypsum matrix and a tacky coating applied onto a glass fiber. The tacky coating is comprised of a polymer composed of methacrylic acid and dimethyldiallyammonium chloride. The polymer is dissolved in an acidic aqueous solution and is roller coated onto the glass fibers. The chopped glass fibers may also be placed in such an acidic solution, which is made alkaline by the addition of alkali, thereby precipitating the polymer out of solution as a tacky composition that produces a tacky coating on the glass fibers. The glass fibers with the tacky bond coating are incorporated in an alkaline gypsum slurry to form a gypsum board having a first and second facer sheet. The tacky coating on the glass fibers bonded to the gypsum matrix result in compliant load transfer between the gypsum matrix and the glass fibers, yielding improved flexure strength and nail pullout resistance.

A leaf identifying method based on manifold learning belongs to the technical field of biological feature identification. The method includes: (1) the collection and the pretreatment on the data of the leaf; (2) the characteristic extraction of the leaf; (3) the training of a sorter and the testing of the leaf data. At first, the leaf data is collected by a device; then de-noising, smoothing, dividing, normalizing, graying and vectorization treatments are carried out; then a semi-monitoring manifold learning arithmetic is used for extracting the linear characteristics from the leaf data; finally, a nearest neighboring sorter is adopted for sorting. A plurality of pre-treatments are carried out on the collected data, thus effectively restraining the effect of noise. The semi-monitoring manifold learning arithmetic can effectively detect the inside structure of the distribution of the leafa data and the monitoring information is led in for improving the separability of the data. The semi-monitoring manifold learning arithmetic is a linear characteristic extraction method which extensively reduces the calculation complexity of the arithmetic.

The invention discloses a collaborative filtering-based real-time voice-driven human face and lip synchronous animation system. By inputting voice in real time, a human head model makes lip animation synchronous with the input voice. The system comprises an audio/video coding module, a collaborative filtering module, and an animation module; the module respectively performs Mel frequency cepstrum parameter coding and human face animation parameter coding in the standard of Moving Picture Experts Group (MPEG-4) on the acquired voice and human face three-dimensional characteristic point motion information to obtain a Mel frequency cepstrum parameter and human face animation parameter multimodal synchronous library; the collaborative filtering module solves a human face animation parameter synchronous with the voice by combining Mel frequency cepstrum parameter coding of the newly input voice and the Mel frequency cepstrum parameter and human face animation parameter multimodal synchronous library through collaborative filtering; and the animation module carries out animation by driving the human face model through the human face animation parameter. The system has the advantages of better sense of reality, real-time and wider application environment.

The invention relates to a production process of freeze-dried burdock, which is characterized by comprising the following steps: taking fresh burdock as a raw material, cleaning with water, dicing, sterilizing, cooling, and precooling on a freezing plate for 12-24 hours; freezing the precooled and diced burdock; drying the frozen and diced burdock in a vacuum drier, wherein the drying process is divided into a sublimation drying stage and a resolution drying stage, the vacuum degree in the sublimation drying stage is 80-120 Pa, and the vacuum degree in the resolution drying stage is 1-10 Pa; and after finishing drying, cooling, vacuumizing and carrying out nitrogen gas packing to obtain the freeze-dried burdock. The process is simple and reasonable, and can reserve the food tissues, nutritional components and flavored substances in the burdock. The freeze-dried product has the advantages of favorable rehydration property, light weight and the like, and can be stored at room temperature.

The primordial bamboo plate making process includes the following steps: cutting bamboo into bamboo tube, cutting into arced bamboo strip, cutting the inside of bamboo strip to form stress releasing slots, crushing bamboo branches and leave into bamboo powder, heat treatment of the bamboo strip and bamboo powder, flattening the bamboo strip, filling the bamboo powder into cracks in the bamboo strip, cooling and pressing into bamboo plate. The process has the natural structure and grains of bamboo maintained and high material utilization rate, and the primordial bamboo plate has high hardness.

The invention is suitable for the technical field of environmental monitoring, and provides an air quality PM2.5 predicating method and an air quality PM2.5 predicating system. The air quality PM2.5 predicating method comprises the following steps: performing meshing on a researched region; obtaining influence factor data in each mesh and air quality data monitored by a monitoring station; integrating the influence factor data to form a fourth-order tensor, and performing normalization processing on the four-order tensor; based on the influence factor tensor data and the PM 2.5 concentration data subjected to the normalization processing, establishing a tensor sample database; constructing an initial support tensor regression model, and training the initial support tensor regression model by taking the PM2.5 influence data tensor data and the PM2.5 concentration data as input data; determining parameters of the initial support tensor regression model through an alternating projection algorithm, and obtaining the final support tensor regression model; predicating a target sample through the final support tensor regression model to obtain the PM2.5 concentration data in the target sample.

The invention discloses a manufacturing method for a bamboo fiber bamboo board. The manufacturing method is characterized in that bamboo green is not required to be removed, and is only slightly sanded, and bamboo tubes are split, thermally treated and flattened, so that an original surface layer of bamboo is a surface layer of a formed material, the surface layer strength of the bamboo board is strengthened, and the original performance of the bamboo is fully utilized to improve original ecological features; and in addition, a bamboo chip is fully crushed to form a reticular fiber connecting shape, and internal stress release slots are formed in a bamboo inner skin surface and a bamboo green surface, so that a scientific channel is provided for the release of internal stress of the formed material in a using process, and the stability of the formed material during use is ensured.

The invention discloses an novel beta/gamma-TiAl alloy with the ultra-fine grain. The novel Beta/Gamma-TiAl alloy comprises the following chemical components according to atomic percent: 40-45% of Al, 2-9% of Nb, 0-4% OF Cr, 0-6% of Mo, 0.1-0.3% of B, and the balance of Ti. The preparation method of the alloy comprises the following steps: electromagnetical induction and smelting in suspension by a water-cooling copper crucible, or consumable arc melting by the water-cooling copper crucible. Through the compound addition of different Beta-phase stable elements, the TiAl alloy laminated structure with the uniform structure and the uniform grain of 10 micrometers is obtained in the cast condition, and a large number of Beta-phase stable elements are stabilized to the room temperature and enriched at the grain boundary of the laminated grain.