16results about How to "Obvious performance advantage" patented technology

The invention provides a ferronickel-based oxygen evolution electrode and a preparation method thereof based on interface confinement. The preparation method of the ferronickel-based oxygen evolution electrode comprises the following steps: preparing a precursor solution containing ferrous ions and ferric ions; the foamed nickel substrate is cleaned; the cleaned foamed nickel is tightly attached to the surface of the bottom of the reaction container, the foamed nickel is immersed in the precursor solution, under the room-temperature standing condition, divalent and trivalent iron ions are induced to be subjected to a synergistic hydrolysis and coprecipitation reaction through a physical interface confinement space formed by an attached interface, and the nickel-based composite material is obtained. Therefore, a high-activity and high-uniformity nickel-iron-based (oxygen) hydroxide catalyst layer (DIC-NiFeOOH / NF) is grown on the surface of the foamed nickel in situ. The method is simple in process, green and energy-saving, and the prepared nickel-iron-based oxygen evolution electrode shows excellent performance in oxygen evolution reaction and anion exchange membrane water electrolysis.

The application belongs to the technical field of biological medical materials, and discloses a polydopamine modified modified nano-graphyne and a preparation method and application thereof. In the method, the polydopamine coating is combined with the nano-graphyne for the first time to construct a GDY@PDA composite system, and the core defects of the blocky graphyne, such as easy agglomeration, poor water solubility and insufficient biocompatibility, are solved. The graphyne-based material is applied to the near-infrared two-region photothermal regulation of neural cell calcium influx for the first time, the calcium ion channel is activated through the local thermal effect of the material, and precise, remote and reversible calcium influx regulation is realized; the limitation that the traditional biocompatibility modification is easy to fall off and difficult to functionalize is broken through, the polydopamine modification makes the material have both photothermal efficiency and biological safety, and the application of the graphyne in the treatment of neural diseases (such as neural cell injury repair) is expanded.

The application discloses a ground-based space target monitoring radar atmospheric refraction error correction method. The ground-based space target monitoring radar atmospheric refraction error correction method comprises the following steps: based on the vertical distribution of atmospheric refraction index and the radar elevation angle measurement value, the signal propagation path is accurately recursively calculated by using the refraction theorem and geometric relationship, the corresponding elevation angle, geocentric angle and target apparent distance of different heights are calculated, and a one-to-one corresponding relationship between the apparent distance and the distance, the elevation angle measurement error is established; then, according to the radar distance measurement value, the radar distance and the elevation angle measurement error are calculated by interpolation, and finally, the distance and the elevation angle measurement error caused by the atmospheric refraction of the space target monitoring radar are corrected. The ground-based space target monitoring radar atmospheric refraction error correction method has higher error calculation precision under the condition of given layer interval, has more stable error correction performance, and can more accurately correct the atmospheric refraction error of the space target monitoring radar.

The application belongs to the field of organic-inorganic heterostructure thin films, and relates to a polymer / inorganic heterostructure composite thin film and a preparation method and application thereof. The composite thin film is formed by compounding PEDOT:PSS and ITO nanocrystals, PEDOT:PSS forms a flexible network skeleton, the growth orientation of ITO nanocrystals is a (222) crystal face, a (400) crystal face or a (211) crystal face, and the ITO nanocrystals are uniformly dispersed and bonded in the PEDOT:PSS network. The flexible organic polymer PEDOT:PSS and the brittle ceramic material ITO are compounded, the surface state and the work function of the two-phase materials are regulated, the heterostructure composite thin film with a molecular-level interface combination is constructed, and the critical mechanical properties, the interface toughness and the electron mobility of the thin film are simultaneously improved, so that the demand of the flexible electronic device for the high-performance and high-reliability thin film material is met.

This invention discloses a semi-supervised remote sensing image change detection method and system based on neighborhood relationship propagation, belonging to the field of computer vision and remote sensing image processing technology. It includes: acquiring dual-temporal remote sensing image pairs and dividing them into labeled and unlabeled datasets; constructing a teacher-student framework semi-supervised model, calculating the squared Euclidean distance between the center pixel and its neighboring pixels, converting it into a relevance weight matrix using Softmax, and performing neighborhood-weighted aggregation on the initial prediction map to obtain a corrected prediction map; calculating the supervised loss using labeled samples, and calculating the unsupervised loss using unlabeled samples through weak perturbation to generate pseudo-labels and strong perturbation for consistency learning; jointly optimizing the student model parameters and updating the teacher model using exponential moving average; inputting the dual-temporal images into the trained student model, outputting a probability map, and generating a binary change detection mask. This invention enhances spatial consistency through neighborhood relationship propagation, improving detection performance when labels are limited.

The invention discloses a few-sample named entity recognition method and system based on a neural network model, and the method comprises the following steps: obtaining a to-be-recognized original input text, and retrieving from an external knowledge base to obtain a group of candidate knowledge statements; a dynamic similarity threshold algorithm is adopted to filter the candidate knowledge statements, and enhanced knowledge is screened out; inputting into a first encoder, and generating a context text representation matrix of deep fusion knowledge; inputting the matrix into a sequence labeling classification layer, classifying each lexical element, and identifying a boundary span of a potential entity in a text; and inputting a text corresponding to the identified entity boundary span into a second encoder to generate an entity embedding representation, and determining a final category of the entity by calculating a distance between the entity embedding representation and a predefined category prototype to complete named entity identification. According to the method, the problems caused by data sparseness and semantic fuzziness in a few-sample scene are solved, and the accuracy of named entity recognition is improved.

The invention discloses an unmanned aerial vehicle hovering point and flight path joint optimization scheme (DGQDN) for data collection performance improvement. The DGQDN comprehensively optimizes the hovering point and the flight path of the unmanned aerial vehicle, and aims to maximize the system utility. According to the scheme, the system utility not only covers the total amount of sensor network data acquisition, but also considers optimization of the number of hovering points and the repeated coverage rate of the sensor nodes. In the scheme, after the unmanned aerial vehicle completes data acquisition, the matrix filling technology is adopted to accurately recover the sensing data of an unacquired area. The DGQDN starts from three dimensions of hovering point optimization, flight path planning and data recovery and expansion, the data acquisition efficiency of the unmanned aerial vehicle is systematically improved, and an innovative solution is designed for each dimension. A large number of simulation experiments prove that the DGQDN is obviously superior to an existing scheme in different data acquisition scenes, and excellent performance and wide applicability of the DGQDN are shown.

The utility model relates to the technical field of packaging paper feeding and cutting, and discloses a paper stirring piece separating structure of chain type transmission paper feeding equipment, which comprises a separating plate fixed on a rack, a plurality of air outlet grooves are uniformly arranged at the upper part of the separating plate, a communicating pipe is arranged on one side of each air outlet groove, the communicating pipe is connected with an air flow cleaner, and the air flow cleaner is connected with an air inlet pipe of the chain type transmission paper feeding equipment. And a stripping plate is arranged at the upper part of the communicating pipe and is used for stripping the adsorbed paper. According to the utility model, a'mechanical + pneumatic 'double-acting separation mode is formed through sequential cooperation of stripping elastic sheet mechanical triggering and high-pressure airflow, the problem of electrostatic adsorption of multiple pieces of paper is effectively solved, the separation efficiency is improved by more than 40%, the airflow cleaner directionally sprays compressed air through the air outlet groove, static electricity on the surface of the paper is neutralized while a physical isolation layer is formed, and the separation efficiency is improved. And the electrostatic adsorption force is reduced to 0.5 N or below, so that secondary adhesion is fundamentally avoided.

A quantitative diagnosis method for freshwater fish diseases based on OpenCV weak supervision and ResNet50-ADCA dual-branch model is proposed. The method consists of the following steps: (1) Image acquisition and preprocessing: Based on the publicly available freshwater fish disease dataset, a balanced Salmon++ dataset is constructed by combining samples collected from aquaculture sites; (2) Weakly supervised lesion segmentation and labeling: (2.1) HSV color space targeted segmentation; (2.2) Iterative optimization mechanism; (2.3) Disease grading standard; (3) ResNet50-ADCA dual-branch model construction: (3.1) Backbone network and transfer learning; (3.2) SEA channel attention embedding; (3.3) Dual-branch multi-task output layer design; (3.4) Classification branch; (3.5) Grading branch; (3.6) Loss function design; (4) Model training and optimization. This invention balances labeling efficiency, diagnostic accuracy, and quantitative grading capability, and can effectively solve the problems of high labeling cost, poor adaptability to complex environments, lack of quantitative evaluation function, and imbalance between accuracy and speed in the existing technology.

This invention discloses a composite catalyst with high resistance to coking in methane dry gas reforming. The composite catalyst is composed of three components: a supported nickel-based catalyst, a nitrogen-doped carbon-supported molybdenum catalyst, and an inert support. The invention also discloses its application in methane dry gas reforming. After hydrogen reduction, the composite catalyst exhibits excellent activity and stability under high space velocity reaction conditions in methane dry gas reforming, overcoming the deficiency of Ni-based catalysts in methane dry gas reforming that are prone to coking and deactivation under high-temperature conditions.

The invention discloses a work scheduling method for a deep neural network reasoning task. The work scheduling method is applied to a vehicle edge computing system comprising a plurality of roadside units. The method comprises the following steps: firstly, constructing a system model, and modeling an inference task into a directed acyclic graph to distinguish executed and unexecuted layer nodes; establishing a communication time delay and energy consumption model, and defining a system total cost function as a weighted sum of task completion total time delay and intermediate result transmission energy consumption; modeling a scheduling decision process into a multi-agent Markov decision process, and taking each roadside unit as an independent agent; solving by adopting a multi-agent depth deterministic strategy gradient algorithm to generate an optimal scheduling strategy; and finally, determining a target roadside unit according to a strategy, and transmitting an intermediate result for relay calculation. According to the invention, the problems of service interruption caused by high mobility of the vehicle and lack of cooperation of multiple roadside units are effectively solved.

The invention discloses an environment-friendly long-acting antifouling paint and a preparation method thereof, and belongs to the technical field of paint materials and antifouling. The environment-friendly long-acting antifouling paint comprises the following components in parts by weight: 30-50 parts of a component A, 25-45 parts of a component B, 8-25 parts of a functional body, 1-5 parts of color paste and 0.3-3 parts of an auxiliary agent, the component A is an aliphatic isocyanate prepolymer which is prepared from aliphatic isocyanate and castor oil through a reaction, and the specific preparation raw materials comprise the following components in parts by weight: 20-40 parts of aliphatic isocyanate and 10-20 parts of castor oil; the component B is polyaspartic acid ester, and the molecular weight of the polyaspartic acid ester is 800-1500 g / mol; the castor oil has good reaction activity with aliphatic isocyanate, can significantly improve the flexibility of a prepolymer (polyurea precursor) and the cohesiveness with a base material, and can optimize the compatibility of the polyurea precursor with polyaspartic acid ester with the molecular weight of 800-1500 g / mol, thereby improving the mechanical stability and weather resistance of the whole polyurea paint coating. The technical problem that an existing coating material cannot give consideration to synergistic improvement of environmental protection property and mechanical property is solved.

The application relates to a multi-modal emotion recognition method and system fusing bidirectional attention and self-distillation, first, a bidirectional cross attention mechanism is designed to realize bidirectional interaction of information flow between modes, so that text, speech and video can be mutually corrected to mine deeper complementary clues. Secondly, a self-distillation type double-strategy learning framework is introduced to realize exploration of a global optimal solution through parallel conservative fusion and aggressive fusion paths, and the adaptability and generalization performance of the model in low-labeled data, noisy labeling and cross-domain migration scenarios are enhanced. Finally, a mode contribution balance mechanism is constructed to dynamically estimate the reliability and importance of different modes in different samples, suppress the interference of low-quality modes, and enhance the contribution of high-quality modes, thereby significantly improving the robustness and stability of the model in complex real scenarios. The application improves the fusion efficiency of text, speech and video modal information and the fine-grained emotion recognition precision.

The invention discloses an X-ray detector based on a sulfur halogen semiconductor Cu2Br2-nInSe6 and a preparation method thereof, the detector takes a Cu2Br2-nInSe6 crystal as a detection semiconductor, and n is more than or equal to 0 and less than or equal to 2; metal electrodes are arranged on the upper and lower sides of the crystal; the preparation method comprises the following steps: (1) preparing a Cu2Br2-nInSe6 crystal; (2) cutting the Cu2Br2-nInSe6 crystal into wafers, and carrying out surface polishing on the Cu2Br2-nInSe6 crystal; and (3) preparing a metal electrode on the wafer. The high-performance X-ray detector based on the Cu2Br2-nInSe6 crystal is prepared through the design of the crystal structure, the device structure is simple, the X-ray detection performance with high sensitivity and low detection limit is achieved, and the detector has outstanding advantages in the field of radiation detection application.

The invention relates to the technical field of alloy stent material preparation, and discloses a zinc-aluminum-magnesium-coated high-strength stent material, which is prepared by the following steps: selecting a low-carbon microalloy high-strength steel cold-rolled steel coil, uncoiling, degreasing with alkali liquor, pickling with hydrochloric acid, rinsing with hot water, and drying to obtain a clean steel strip; the clean steel strip is input into a continuous annealing furnace, recrystallization annealing is conducted in the protective atmosphere, heat preservation is conducted for 60-120 seconds at the temperature of 850 + / -20 DEG C, then exposure is conducted in the micro-aerobic environment, reduction is conducted in the strong reducing atmosphere, and an activated steel strip is obtained; electromagnetically stirring and filtering the plating solution to obtain an improved plating solution; preheating the activated steel strip, vertically immersing into an improved plating solution for immersion plating, and sealing and protecting by nitrogen; after the strip steel is taken out of the plating pot, high-pressure nitrogen is used for purging and rapid cooling, then slow cooling is conducted, and water mist cooling is conducted to the room temperature after the temperature is lower than 320 DEG C; coating the steel strip with a silane-zirconate composite passivation solution, and drying and curing the steel strip to obtain a passivated steel strip; and finishing, shearing and packaging to obtain the high-strength stent material with the zinc-plated aluminum-magnesium coating.

This invention provides a virtual terminal incremental interface rendering system, method, and terminal based on the ISOBUS standard. It first calculates the new hash value of each attribute based on interface object attribute update data extracted from ISOBUS messages, and compares this new hash value with the corresponding attribute hash value cached by the object cache management module to accurately identify the actual changed attributes. Based on this, it determines the update method and generates an update data packet embedding the current version number. Then, considering the visibility of each interface object, user attention, and update frequency, it calculates the rendering priority, combines the target frame rate and rendering time budget, selects the set of objects to be rendered in the current frame, and performs incremental rendering. This invention achieves efficient incremental updates through hash change detection, differential data packet generation, and intelligent rendering scheduling technologies, effectively reducing data transmission volume, improving frame rate, and reducing latency, demonstrating significant performance advantages and broad application prospects.