126results about How to "Maintain properties" patented technology

The invention discloses a holographic display digital human speech recognition enhancement method based on multi-modal interactive learning, and the method comprises the following steps: S1, collecting and preprocessing data, and generating a multi-modal feature matrix; s2, inputting the multi-modal feature matrix into a self-adaptive multi-modal interaction kernel to generate multi-modal interaction features; s3, inputting the multi-modal interaction features into an emotion convolution block to generate semantic-emotion mapping features; s4, inputting the semantic-emotion mapping features into a cross attention generator, and outputting multi-modal fusion features; s5, inputting the multi-modal fusion features into a multi-modal fusion-decomposition two-way network, and generating multi-modal features after decoupling optimization; s6, inputting the multi-modal features into a holographic-speech symbiosis optimization module to generate speech recognition and holographic display data; and S7, performing parameter optimization by applying self-supervised learning and comparative learning strategies to realize self-adaptive adjustment. According to the invention, the enhancement of holographic display digital human speech recognition is realized by using a multi-mode interactive learning method.

The invention provides a high-temperature-resistant optical filter and a preparation method thereof. The high-temperature-resistant optical filter comprises a substrate, a first high-temperature-resistant film layer, an optical filter film layer and a second high-temperature-resistant film layer, and the first high-temperature-resistant film layer and the second high-temperature-resistant film layer comprise a plurality of SiO2 thin film layers and Al2O3 thin film layers which are sequentially arranged in a staggered mode; the SiO2 thin film layers and the Al2O3 thin film layers are alternately arranged, expansion or contraction of each thin film layer can be mutually compensated by the adjacent layers when the temperature changes, thermal stress between single layers can be offset to a certain degree, and therefore the sensitivity of the whole film system to the temperature changes is reduced, the thin film with high thermal stability is formed, and the service life of the thin film system is prolonged. The phenomenon that the optical filter film layer is broken, warped and even falls off and fails due to high temperature can be avoided under the high-temperature test of 600-1000 DEG C; the problems of substrate deformation, film layer failure, falling and the like possibly existing in a traditional optical filter in a high-temperature environment are solved in a targeted manner.

The invention discloses a data lossless fusion and aero-optical effect calculation method based on flow field characteristics, and belongs to the technical field of aero-optical effect calculation, and the method comprises the steps: constructing a coordinate system based on an optical window and optical calculation parameters; constructing a first layer of optical grid based on a window plane; coordinate transformation of a flow field and a first layer of optical grids; generating optical calculation grid points based on a linear equation and a plane equation; performing interpolation conversion on the flow field data to an optical computational grid; and completing ray tracing and optical function calculation. According to the method, the optical computational grid and data interpolation extraction can be quickly generated with high precision, so that the pneumatic optical effect can be calculated with high precision.

The invention discloses a medical image segmentation method and device based on hierarchical multi-scale CNN-Transform, and relates to the field of deep learning, a medical image segmentation model based on CNN-Transform is constructed and trained, a trained medical image segmentation model is obtained, a to-be-segmented medical image is obtained and input to the trained medical image segmentation model, and the to-be-segmented medical image is obtained. Inputting a to-be-segmented medical image into the stem layer for block segmentation to obtain a block image, and inputting the block image into a coding module to obtain a coding feature of a first stage and a coding feature of a third stage; inputting the coding feature of the first stage and the coding feature of the third stage into a double-layer feature fusion module to respectively obtain a calibrated coding feature of the first stage and a calibrated coding feature of the third stage; and inputting the calibrated coding characteristics of the first stage and the calibrated coding characteristics of the third stage into a decoding unit to obtain a prediction segmentation result. According to the method, the modeling capability of the model on the multi-scale long-range dependency relationship and the local space information can be improved.

The invention discloses a depression detection system. The depression detection system comprises an exhaled gas collection module, a waveform signal acquisition module and a detection module, a gas channel of the exhaled gas collecting module is gradually narrowed in the flowing direction of exhaled gas, and the exhaled gas collecting module is used for exhausting original gas in the gas channel and collecting the exhaled gas by making a flow speed difference at a gas inlet and a gas outlet of the gas channel; the waveform signal acquisition module is connected with the exhaled gas collection module and is used for acquiring a waveform signal of exhaled gas; and the detection module is connected with the waveform signal acquisition module and is used for performing depression detection according to the waveform signal. A gas channel of the exhaled gas collecting module is arranged to be in a shape gradually narrowed in the gas flowing direction, the size of a gas inlet of the gas channel is large, and the flow speed is low; the air outlet is small in size and high in flow speed, so that original air in the air channel is exhausted more thoroughly, interference of the original air is reduced, and the depression detection result is more accurate.

The invention provides a historical building bare brick wall degradation characteristic evaluation method and equipment, and the method and equipment achieve the automatic recognition and precise evaluation of the historical building bare brick wall degradation damage characteristics based on a target detection algorithm through the fusion application of deep learning and computer vision technologies and the combination of a transfer learning optimization neural network architecture. According to the method, a bare brick wall degradation characteristic sample database is established, a PP-PicoDet algorithm is selected to carry out model training and characteristic increment superposition training, rapid and accurate automatic identification of damage types, positions and degrees is realized, and compared with a traditional manual investigation mode, the operation efficiency and the result accuracy are greatly improved; and a novel intelligent efficient investigation tool and method are provided for historical building protection and repair.

The invention discloses a physical intelligent magnetic resonance diffusion weighted image denoising and quantifying method, and relates to diffusion magnetic resonance weighted imaging. Comprising the following steps: 1) acquiring diffusion weighted magnetic resonance data acquired by using a multi-diffusion-direction planar echo imaging sequence; 2) designing a physical intelligent magnetic resonance diffusion weighted image denoising and quantification deep learning network model and a loss function; 3) using the training data set obtained in the step 1) to train a physical intelligent magnetic resonance diffusion weighted image denoising and quantification deep learning network model; and 4) inputting diffusion weighted data to be denoised into the trained network to generate a final denoising and quantification result. Through combined application of physical regularization loss and low-b-value data, the problem of low signal-to-noise ratio in magnetic resonance diffusion weighted imaging is effectively solved, image denoising is realized, and an accurate quantitative result is further provided. And the image quality and the ADC quantitative accuracy can be maintained and even improved while the acquisition times are reduced.

The invention relates to the technical field of credit risk control, in particular to a stateless process engine breakpoint running continuation method and system, and the method comprises the steps: obtaining a request unique id and a process id of a current breakpoint running continuation request; obtaining process arrangement information; acquiring technical context information; initiating a breakpoint continuous running request; judging whether the current task node is executed or not by adopting an access detector technology so as to identify whether the current task node is a breakpoint or not; assembling execution information of the current task node by adopting a post-processor technology, and storing the execution information in technical context information; and synchronously storing the technical context information and the request unique id of the current breakpoint continuous running request in a non-relational database and a relational database. According to the method, the Redis database and the MySQL database are integrated, and the access detector and the rear processor of the LiteFlow process engine are utilized, so that an efficient and reliable breakpoint continuous running mechanism is realized, and the LiteFlow process engine can accurately recover execution from a breakpoint after the process is interrupted.

According to the model conversion method provided by the invention, the height map of the terrain and the weight distribution maps of the plurality of material layers are acquired, the target three-dimensional grid model is generated according to the height map, the weight distribution maps of the plurality of material layers are combined to generate the weight map, and based on the position of the target three-dimensional grid model in the world coordinate system, the target three-dimensional grid model is converted into the target three-dimensional grid model. Calculating texture mapping coordinates; and generating a material instance corresponding to the target three-dimensional grid model according to a preset material template, the weight map and the texture mapping coordinate. Through effective integration and conversion processing of terrain height information and multilayer material weight information, automatic conversion from two-dimensional terrain data to a three-dimensional grid model with complete material information is realized, and it is ensured that the finally generated three-dimensional model can accurately express a complex material mixing effect. And the visual authenticity and rendering efficiency of the terrain model are obviously improved.

The invention provides an Al-Mg-Zn-Mn alloy profile and a preparation method thereof, and relates to the technical field of aluminum alloy processing.The preparation method comprises the following steps that an Al-Mg-Zn-Mn alloy cast ingot is prepared, and the cast ingot contains a primary Al6Mn phase and a primary T-Mg32 (AlZn) 49 phase; performing soaking treatment on the cast ingot; cogging treatment is conducted on the cast ingot obtained after soaking treatment, then extrusion forming is conducted, so that a T-Mg32 (AlZn) 49 phase is redissolved into an aluminum matrix, online quenching is conducted, and an extruded profile is obtained; stretching and straightening the extruded profile; and aging treatment is conducted, specifically, aging treatment is conducted on the stretched and straightened profile, so that the T-Mg32 (AlZn) 49 phase is separated out, and the Al-Mg-Zn-Mn alloy profile is obtained. The content of Mn in the raw materials is increased, the mass percentage content ratio of Zn to Mg is controlled, the proportion of recrystallized grains is increased through high-temperature extrusion forming, and the supersaturation degree of a matrix is improved through online quenching; and after aging treatment, dispersed precipitation of a T phase is promoted, and the obdurability of the aluminum alloy profile is remarkably improved. According to the method, off-line solid solution quenching is not needed, and the Al-Mg-Zn-Mn alloy profile with the large size and the high toughness can be prepared.

According to the ceramic particle surface treatment method and the metal-based ceramic composite material provided by the invention, the active substance powder is treated into uniform nano-scale powder, and the strong adsorption function of the nano-powder is utilized, so that the combination of the active substance powder and the ceramic particles in the cold spraying process is firmer, and the combination capacity of molten metal and the ceramic particles is improved. Besides, nano-scale active substance powder is uniformly deposited on the surfaces of ceramic particles by adopting a cold spraying technology, so that the wettability of ceramic and metal is improved, the bonding strength of the nano-scale active substance powder and the ceramic particles is high, infiltration of molten metal and the ceramic particles in the compounding process is facilitated, and the working temperature is lower; in addition, the binder is atomized on the surfaces of the ceramic particles in an atomization mode to manufacture the honeycomb-shaped ceramic prefabricated body, the binder is atomized more uniformly, the strength of the manufactured ceramic prefabricated body is higher, and the overall strength of the prepared metal-based ceramic composite material is improved.

The invention discloses an establishment method of an oat germ tip callus induction and efficient regeneration system based on small peptides. The establishment method comprises the following steps: firstly, culturing pretreated oat seeds in a 1 / 2 MS culture medium; when the seeds germinate for a certain length, taking the tips of the germs, putting the tips of the germs into an induction culture medium added with small peptides for induction, then transferring into a differentiation and proliferation culture medium added with small peptides for continuous culture, and then transferring into a rooting culture medium for culture to obtain differentiated seedlings with a certain root length; and finally, transplanting seedlings, hardening the seedlings, and culturing with vermiculite to obtain complete regenerated plants. According to the method, the oat germ is selected as the explant for plant tissue regeneration culture, materials are low in cost and easy to obtain, operation is easy, by introducing the small peptide capable of regulating and controlling the response and regeneration capacity of the local wound of the plant, the callus induction capacity of the apex of the oat germ in in-vitro culture is enhanced, the regeneration condition of the callus is optimized, and the tissue regeneration capacity of the apex of the oat germ is improved. Therefore, an efficient and stable oat regeneration system is constructed, and an important basis is provided for gene editing and oat germplasm innovation.

The invention provides a trepang, ginseng and poria cocos fermented composition with a damp clearing effect and a preparation method thereof. The ginseng-codonopsis pilosula-poria cocos fermented composition is prepared from the following components in parts by weight: 5-15 parts of ginseng, 5-15 parts of codonopsis pilosula, 5-15 parts of poria cocos, 5-15 parts of Chinese yam, 5-15 parts of white hyacinth bean, 5-15 parts of red coix seed, 5-15 parts of lotus seed, 5-15 parts of pawpaw, 5-15 parts of gordon euryale seed, 5-10 parts of pericarpium citri reticulatae, 5-10 parts of fructus amomi, 5-10 parts of platycodon grandiflorum, 5-10 parts of Chinese date, 5-10 parts of folium mori and 5-10 parts of liquorice.

The utility model discloses a high-efficiency deodorizing machine for leather. The high-efficiency deodorizing machine comprises a rack, the heating box with the small sectional area is arranged in the rack, the heating efficiency can be greatly improved, meanwhile, the heat preservation layer and the reflecting layer are arranged in the heating box, the effects of heat preservation and heating efficiency improvement can be effectively achieved, the multiple sets of combustors are arranged in the V shape, and the heating efficiency is improved. The leather heating temperature can be gradually increased from low temperature to high temperature and then gradually increased to low temperature, hot air in the heating box is sucked into the heat exchange box through the first draught fan, heat is released into the heat exchange box through the multiple sets of heat exchange pipes, then the heat is introduced into the adsorption box, and peculiar smell is adsorbed and removed through the multiple adsorption layers; and the operation is repeated, so that the peculiar smell can be quickly removed, the internal temperature in the heating box can be prevented from losing too quickly, and the practicability is very high.

The invention provides a tissue slice patch preparation method based on a tissue chip. The tissue slice patch preparation method comprises the following steps: mixing raw materials to prepare a receptor wax block, collecting a tissue core and transferring the tissue core to the receptor wax block to form a fused wax block, cooling the fused wax block, storing the fused wax block, and carrying out operations of pre-cooling correction, slice unfolding and slice baking. According to the tissue chip-based tissue slice patch preparation method, the tissue chip can be better protected, and the integrity of the tissue chip is ensured.

The utility model discloses a kind of rice powder microwave heating curing device and rice powder machine with the device, the curing device includes extruding component, it includes extruding cylinder, further include microwave heating assembly, microwave heating assembly is arranged on the outer wall of extruding cylinder.Microwave heating assembly includes magnetron;Extruding component includes machine cylinder component and extruding screw rod, machine cylinder component includes inner cylinder and extruding cylinder;The sidewall of the extruding cylinder is equipped with multiple microwave guide inlets;Inner cylinder is arranged in the extruding cylinder, and the feed inlet of inner cylinder is communicated with the feed pipe;Extruding screw rod is arranged in the inner cavity of the inner cylinder;Each guide inlet on extruding cylinder is equipped with a microwave heating assembly, and guide inlet is fixedly connected with the magnetron.This rice powder microwave heating curing device directly heats rice powder by microwave, is easy to control heating temperature, energy saving and environmental protection, can solve the problem that material is unevenly heated, heating time is long, energy consumption is big in rice powder heating curing process.

An organic light-emitting display device may include: a substrate; a first active layer arranged on the substrate; a gate insulating layer; a first gate electrode; a first insulating interlayer and a second insulating interlayer; a first source electrode, which is arranged on the second insulating interlayer and contacts the first active layer via a contact hole formed by removing parts of the gate insulating layer, the first insulating interlayer, and the second insulating interlayer; a protective insulating layer, which is arranged on the first source electrode; a first drain electrode, which is arranged on the protective insulating layer and contacts the first active layer via a contact hole formed by removing parts of the gate insulating layer, the first insulating interlayer, the second insulating interlayer, and the protective insulating layer; and a sub-pixel structure, which is arranged on the first drain electrode.

The invention discloses a konjak taro ball capable of keeping chewy at low temperature and a preparation method thereof, and belongs to the technical field of konjak taro ball preparation, the konjak taro ball comprises the following components by weight: 15-35 parts of konjak powder, 5-15 parts of tapioca flour, 1-2 parts of a sweetener, 3-5 parts of cranberry pulp, 1-3 parts of vaccinium bracteatum thunb juice, and 40-75 parts of water. Through a specific formula and a specific processing technology, the konjak balls can keep the elastic characteristic at low temperature, and the problem that the quality of the konjak balls is reduced at low temperature in the prior art is solved.

According to the instant ruditapes philippinarum food and the processing method thereof, ruditapes philippinarum is used as a raw material, and vacuum rolling, TG enzyme-ultrasonic coupling treatment, vacuum impregnation and far infrared drying and dehydration technologies are combined in the main steps of raw material pretreatment, pre-dehydration, seasoning, drying and the like. The allergen of the clam meat instant product is effectively reduced, the elasticity of the clam meat instant product is increased, the taste of the clam meat is ensured, and the clam meat instant product has certain reference significance for development of instant shellfish products.

The invention provides a refractory bus bar and a battery pack including the same. The refractory bus bar includes: a bus bar conductor portion; a refractory silicone cover including a cap portion covering both ends of the bus bar conductor portion, and a main body covering portion integrally joined to the cap portion while covering a main body of the bus bar conductor portion between the both ends, the refractory silicone cover is ceramized at a high temperature to support the bus bar conductor portion; and a protective layer covering the refractory silicone covering, in which a through hole extending from an upper surface of the cap portion to a surface where the cap portion is in contact with the bus bar conductor portion is formed in the cap portion.

The utility model relates to accessories of an electric scooter, in particular to a luggage carrier with movable supporting legs. The trafficability and the steering flexibility of the existing scooter can be influenced when rollers are arranged on a luggage carrier. The carrier with the movable supporting legs comprises a side plate connected with a handlebar vertical pipe and a bottom plate used for carrying objects, the supporting legs capable of being movably folded and unfolded are arranged on the two sides of the bottom of the bottom plate, and the supporting legs can be unfolded to be supported on the ground when the scooter is parked and folded when the scooter is driven. The stability of the scooter during object parking is improved through the supporting legs which are movably folded and unfolded, so that the scooter is stably parked and does not topple over; when the scooter runs on the road again, the supporting legs are folded, normal running of the scooter is not affected, and the scooter can keep original trafficability and flexible steering characteristics.

The invention relates to the technical field of visual remote sensing image processing, in particular to a remote sensing image cloud removal method based on robustness Swin Transform. According to the method, the Swin Transform model and the self-attention mechanism thereof are introduced, the information of the pixel level and the semantic level is comprehensively considered, and the detailed post-processing step is combined, so that remarkable innovation and improvement are achieved in the aspects of the cloud removal effect, the generalization ability, the information comprehensive processing, the post-processing optimization and the like. Compared with the prior art, the remote sensing image cloud removal method can more effectively solve the problems encountered in the remote sensing image cloud removal process, provides a high-quality cloud removal result, and has wide application value. The method can significantly improve the cloud removal effect, improves the remote sensing image quality, and has a wide application prospect.

The invention belongs to the field of memristors, and discloses a memristor with a high on-off ratio and low off-state current density and a preparation method thereof.The preparation method comprises the following steps that an ITO substrate with the hydroxylated surface is soaked in an ethanol solution of 3-aminopropyltriethoxysilane; 3-aminopropyltriethoxysilane molecules are modified on the surface of the ITO substrate, and the ITO substrate with positive electricity on the surface is obtained; the method comprises the following steps: soaking an ITO substrate with a positively charged surface in a gold nanoparticle colloidal solution to obtain a substrate assembled with gold nanoparticles, spin-coating polymethyl methacrylate on the surface of the substrate assembled with the gold nanoparticles, baking until the substrate is dry, and then plating an aluminum film to obtain the memristor with high on-off ratio and low off-state current density. The memristor disclosed by the invention has an ultrahigh switch ratio and ultralow off-state current density at the same time, can be stably converted between a high-resistance state and a low-resistance state, and has a long-time retention characteristic and good process repeatability.

The invention discloses magnetic high-energy slump mass impact test equipment based on Ampere force acceleration. The magnetic high-energy slump mass impact test equipment comprises a shell, a left power-on guide rail, a carrier platform, a carrying box, acceleration rollers, a carrying box position sensor, a carrying box power supply guide rail and a right power-on guide rail. The electrified guide rail is divided into an accelerating section, a decelerating section and an insulating part located between the accelerating section and the decelerating section. And during acceleration, a conductive brush is adopted for flexible connection, so that a higher final release speed is realized. During speed reduction, power is cut off through the insulation part, then electromagnetic speed reduction is achieved through reverse power-on, and the length of the speed reduction section is shortened. Through the magnetic field generated by the coil on the inner wall of the object carrying box, the test body is in a suspension state in the object carrying box in a Lorentz force mode, it is guaranteed that the test body does not make contact with the object carrying box in the acceleration process, non-contact lossless carrying of the test body is achieved, the original shape and characteristics of the test body are maintained, and the test accuracy is improved. And the quick release of the test body is realized.

The present disclosure relates to a cell proliferation inhibitor comprising glutamic acid, and a method for regulating the proliferation of cells using the same.

The invention belongs to the field of lubricating oil filter elements, and particularly relates to a cell capsule wrapped type double-treatment lubricating oil multi-agent filter element structure which comprises a filter element body. The mixing mechanism is mounted in the filter element main body and is used for sufficiently and uniformly combining the released medicament with the lubricating oil; the retaining mechanism is mounted in the filter element main body and is used for actively crushing medicament aggregates contained after the lubricating oil and the medicament are mixed; the release mechanism is mounted in the filter element main body and is used for releasing the medicament in the cell capsule in a matched manner according to the amount of the lubricating oil; the release mechanism comprises an annular cell capsule wrapping ring fixedly connected to the interior of the filter element main body, and the bottom of the annular cell capsule wrapping ring is rotationally connected with a valve disc through a bearing; a worm wheel is used for sensing flow through the release mechanism, a valve disc is driven through a gear set, accurate matching of the medicament release rate and the lubricating oil flow is achieved, and the problems that a traditional structure is not accurate in release and large in concentration fluctuation are fundamentally solved.

The supporting foot device comprises a shell and an inner core, the shell comprises a shell body and an installation portion which are integrally arranged, the shell body is used for containing the inner core, the bottom of the shell body is used for making contact with the ground, the installation portion is located at the top of the shell body, and the installation portion is located at the bottom of the shell body. And the mounting part is used for fixing at least one of a panel and a bottom frame of the tray. According to the supporting leg device and the tray, the maintainability can be improved, and the use cost can be reduced.

The utility model relates to fermentation equipment technical field especially relates to a reaction kettle for dandelion wine fermentation, including reaction kettle, lid, motor, stirring rod, spiral pipe and flange connector, the lid passes through bolt installation in the top of reaction kettle, and the motor fixed connection is established on the lid, and the stirring rod is connected with the motor, and is placed in the inside reaction kettle, and the installation cavity is opened to the reaction kettle, and the spiral pipe is installed in the installation cavity, and the upper and lower ends of spiral pipe all extend to the outside reaction kettle, and the upper and lower two flange connectors are arranged in the upper and lower ends of spiral pipe respectively. The utility model discloses through to the spiral pipe water supply or is supply hot gas, realizes temperature accurate regulation, can ensure that the temperature in the reaction kettle maintains in the suitable range, promotes yeast activity, improves fermentation efficiency, and ph value sensor and brix sensor can real -time monitoring the key index of fermentation process, help operator to judge fermentation process.

The invention relates to a ready-to-use serum-free DMSO-free cell cryopreservation solution, a preparation method and application, and relates to the field of cell cryopreservation, and the cell cryopreservation solution comprises the following components: sodium lactobionate, calcium chloride, magnesium chloride, potassium dihydrogen phosphate, potassium bicarbonate, potassium chloride, sucrose, mannose, trehalose, hydroxyethyl starch, 4-hydroxyethyl piperazine ethanesulfonic acid, water-soluble vitamin E and ethylene glycol. The cell cryopreservation liquid provided by the invention has the advantages of high efficiency, no foreign protein, easiness in use and the like, cells resuscitated after cryopreservation are high in activity, and the cell characteristics can be kept after resuscitation; the cell freezing medium does not contain serum and other foreign proteins, so that the influence of endotoxin, latent virus and inter-batch difference is avoided; the cell freezing medium disclosed by the invention does not contain DMSO, so that the toxic effect on cells is further reduced, and the cell characteristics are favorably maintained; the cell freezing medium can be directly stored in a refrigerator at the temperature of-80 DEG C without programmed cooling, and is quick and convenient to use.

The invention discloses a tea quality identification method, system and device based on gas, and relates to the technical field of gas identification, and the method comprises the following specific steps: obtaining sensor array data; inputting the sensor array data into a pre-trained classification model to obtain a classification result; the classification model is constructed by multilayer convolution, and a grouping convolution mixed attention mechanism is introduced. According to the method, odor molecules released by the tea leaves are directly detected through the gas sensor, physical or chemical treatment on the tea leaves is not needed, and non-destructive evaluation on the quality of the tea leaves is achieved; according to the invention, based on the tea gas classification network obtained by combining GCHAM, depth classifiable convolution and elastic network regularization, the precision and reliability of tea quality identification are significantly improved.