14results about How to "Excellent performance index" patented technology

The invention relates to waterborne polyurethane and a preparation method thereof.The method comprises the steps that polyhydric alcohol and isocyanate are subjected to a prepolymerization reaction, and when the content of isocyanate groups of a prepolymer reaches a target value, the prepolymer is diluted to obtain a prepolymerization solution; adding a chain extender into the pre-polymerized solution to carry out chain extension reaction, and dispersing and emulsifying with water after the reaction is finished to obtain waterborne polyurethane; the reaction characteristic index is controlled to be-5lt in the preparation process; slt; r is the molar ratio of the isocyanate group to the hydroxyl group when the raw materials are put, E is the mass fraction of the chain extender in the prepolymer, t is the water adding dispersion time, T is the chain extension reaction temperature, and delta p is the pressure drop rate during water dispersion. According to the method, the problem of coordinated regulation of multiple process parameters is solved, and the waterborne polyurethane product with the dispersion particle size of 130-210 nm can be stably prepared.

The application discloses a C-band tuning-free duplexer and belongs to the technical field of microwave filters. The tuning-free duplexer comprises an upper conductor and a lower conductor, and the upper conductor and the lower conductor are buckled one above the other to form a waveguide cavity. The upper conductor is provided with a combining port in the middle of the top, and the lower conductor is provided with a low-frequency input / output port and a high-frequency input / output port at the bottom. The waveguide cavity from the low-frequency input / output port to the combining port constitutes a low-end filter, and the waveguide cavity from the high-frequency input / output port to the combining port constitutes a high-end filter. The main bodies of the high-end filter and the low-end filter are both a plurality of waveguide resonant cavities arranged along a straight line, the middle positions of each waveguide resonant cavity are provided with cavity loading, and adjacent waveguide resonant cavities are connected through inter-cavity coupling. The tuning-free duplexer adopts a symmetrical structure and a center loading mode, realizes tuning-free assembly, has the characteristics of high power bearing capacity, low transmission loss and excellent signal isolation, and is suitable for a C-band communication system.

The application discloses a kind of reparameterization and stereoscopic coding brain disease classification method and system, it is related to computer medical image analysis technical field, including: S1.data acquisition step;S2.data processing step;S3.Establish RepBoTNet network model;S4.Establish RepBoTNet-CESA network model;S5.model training step;S6.classification step.The RepBoTNet-CESA network model constructed in the application combines the advantages that CNN network is good at capturing local information and transformer network is good at integrating global information, while obtaining excellent performance indicators, reduces the calculation cost;By constructing RepBoTNet-CESA network model, more rich and effective features can be extracted, and the region of interest is less likely to be lost, and when analyzing the whole brain structure, the accuracy of disease classification can be effectively improved.

The application discloses a bad segment automatic detection method and system of electroencephalogram based on contrast self-supervised learning. The method comprises the following steps: denoising, segmenting and labeling the electroencephalogram data sequence; performing multi-resolution mapping on the electroencephalogram segment, and aggregating the feature vector to capture multi-level features; modeling the time dependence within a single electroencephalogram segment and between continuous multiple electroencephalogram segments, thereby further highlighting the difference between bad segments and normal electroencephalogram segments in dynamic evolution; training a multi-level morphological representation module in a contrast self-supervised manner to fully learn the domain-invariant characteristics of the electroencephalogram segment, and then fine-tuning the model to the bad segment detection task through limited labeled data to alleviate label dependence. The application can effectively distinguish normal electroencephalogram and bad segments by fully representing the potential deep characteristics of the original electroencephalogram signal, and the self-supervised learning method can effectively alleviate the performance degradation of bad segment detection caused by limited labeled data.

The utility model relates to aluminium composite board hot rolling technical field, and disclose an aluminium composite board hot rolling compound device, including outer machine case, the front and rear of outer machine case are thorough, and the inside bottom of outer machine case is installed with a plurality of lower roll from front to back in proper order, and the upper roller is provided in the just above of each lower roll, and the inside top of outer machine case is installed with a plurality of respectively connecting each upper roller's down pressure spare from front to back in proper order, and the down pressure spare is by front and rear down pressure force and gradually increases in proper order, and down pressure spare specifically includes mounting bracket, lifting platform, electric hydraulic cylinder and compression spring, and mounting bracket is as upper roller mounting structure, and electric hydraulic cylinder is installed in the top of outer machine case, and lifting platform is docked in the end of electric hydraulic cylinder piston rod, and compression spring has three corresponding installation in the left and right ends and the center position between mounting bracket and susong house lifting platform. Hot rolling compound device adopts the hot rolling technology of step by step increasing pressure through the innovative design, and effectively improves the deficiency of traditional single pressure hot rolling.

This utility model discloses a two-stage tension control device for yarn in a plying machine, belonging to the field of yarn plying technology. The device includes a yarn feeding frame equipped with a servo tensioner; a tension guide wheel located on one side of the feeding frame, equipped with a tension controller and a tension wheel connected to the controller; a yarn separating disc and a plying machine, sequentially arranged on one side of the tension guide wheel. The servo tensioner controls the feeding tension of each yarn and maintains consistent tension values ​​across all yarns, achieving the first stage of tension control. The tension controller further controls the yarn tension and detects the tension value, achieving the second stage of tension control. The ply yarn obtained through this two-stage tension control exhibits better appearance and superior performance indicators, as well as higher breaking strength and a longer service life.

The present application belongs to the field of human-computer interaction, and relates to a human-computer trust real-time measurement method and system based on heart rate variability. The present application performs principal component analysis on multiple time domain, frequency domain and nonlinear heart rate variability characteristics, and constructs a human-computer trust real-time measurement model on this basis; in application, user electrocardio signals are collected, heart rate variability characteristics are extracted from the user electrocardio signals; the heart rate variability characteristics are input into a load matrix, and a principal component matrix is calculated according to the load matrix; the principal component matrix is input into the human-computer trust real-time measurement model, and human-computer trust real-time measurement results are obtained. The present application is based on user heart rate variability characteristics, can realize real-time measurement of human-computer trust, and overcomes defects in measurement cost, accuracy, stability and anti-interference.

The application discloses an interactive integrated image restoration and fusion method and device, and the method comprises the following steps: constructing an interactive restoration and fusion module based on a multi-modal feature injection module, which is used for injecting image information of an infrared mode into a network with a pre-trained latent diffusion model as a backbone, so as to realize integrated interactive multi-modal image restoration and fusion; and constructing a fusion image structure restoration module, which is used for refining the structure and details of the restoration and fusion result by using original image information in the iterative denoising process of the latent diffusion model. The device comprises a processor and the processor. The application solves the problem of structure and detail loss caused by latent space fusion, so as to generate a fusion image with richer information and higher visual quality.

The present application relates to the field of computer vision language and image recognition, and particularly relates to a semantic description and question-answering system establishment method and system for remote sensing disaster detection, which generates text language description capable of accurately responding to task requirements image under the premise of adding text constraints by using image features, and establishes a mapping relationship between the pixel-level segmentation result and the question-answering system, and extracts high-level semantic information, and establishes a question-answering system, which can accurately output answers to disaster inquiry questions. The present application can complete three sub-tasks of semantic segmentation, sentence description and question-answering system by using a set of network models, thereby saving computer memory space and improving response speed, and providing technical support for improving the automation, intelligent level and rapid response capability of the remote sensing disaster detection system.

The application discloses a gas shield solid wire rod and welding wire for improving full-position welding arc stability, which contains Fe and inevitable impurity elements, and the following chemical elements with mass percentage: C: 0.05-0.12%; Si: 0.7-1.4%; Mn: 1.0-1.9%; S: 0.008-0.02%; Ti: 0.08-0.19%; Al: 0.01-0.08%; Zr: 0.01-0.06%; Ni: 0.1-0.8%; Mo: 0.09-0.25%; Y: 0.02-0.07%; O: 0.003-0.008%. The welding wire can realize uniform distribution and spreading of the bead surface layer slag to both sides of the weld and self-stripping after welding, and avoids the problem of arc instability caused by a large amount of slag gathering in the center of the weld.

The application provides a lithium iron phosphate positive electrode material and a preparation method and application thereof, and the preparation method comprises the following steps: (1) mixing a vanadium source, cellulose nanofiber, graphene oxide dispersion liquid and a reducing agent, heating and reacting to obtain a composite hydrogel, drying the composite hydrogel into a composite aerogel, and then performing sintering treatment on the composite aerogel to obtain a precursor material; (2) mixing the precursor material, an iron source, a phosphorus source, a lithium source and a solvent after pretreatment of the precursor material, and performing heat treatment to obtain a lithium iron phosphate precursor; and (3) performing calcination treatment on the lithium iron phosphate precursor to obtain the lithium iron phosphate positive electrode material. The application constructs a porous skeleton structure of nanofiber and aerogel and a synergistic effect of vanadium element doping, so that the diffusion rate of lithium ions and electrolyte can be improved, the electrical conductivity of the lithium iron phosphate positive electrode material can be improved, and the overall electrochemical performance of the lithium battery can be improved.

The present application relates to the technical field of electrolytic aluminum production, and discloses a kind of hanging chain online type anode steel claw robot automatic welding process.The present application is by adding welding work station in existing hanging chain conveying system, integrates flame cutting, robot feeding and automatic welding and flux recovery function, realize the on-line repair welding of anode steel claw;The present application adopts robot automatic feeding and full section welding technology, cancels the transfer link of traditional offline welding, greatly improves operation efficiency, welding quality and safety;The present application solves the pain points of the existing offline manual welding, such as high labor intensity, low efficiency, high cost and high safety risk, and can provide key support for cost reduction and efficiency improvement in the process of electrolytic aluminum production.

This invention relates to the field of analog circuit design technology and discloses a method for anomaly identification and feature selection of multi-source heterogeneous data. It involves generating and optimizing a custom multi-parameter, multi-constraint circuit topology within an analog circuit environment, using an analog integrated circuit netlist as graph theory input. This method uses a multi-constraint custom circuit, taking an initial circuit structure as graph theory input, predicting the size of the analog integrated circuit using maximum likelihood estimation, and updating the simulated netlist as the graph theory input. Through comparison, the size is continuously updated, ultimately achieving automatic generation of the circuit structure from the desired structure to the final structure. Through state observation, a graph neural network model is used to optimize the circuit topology, ultimately outputting a highly feasible circuit topology whose performance parameters can reach or even surpass those of manually designed analog integrated circuits.

The invention discloses an isostatic pressing ceramic tube shell which comprises a ceramic body and a metal tube shell matched with the ceramic body for use, the ceramic body is formed by sintering a dry base made of powder and a forming aid after blank making, and the forming aid accounts for less than 8% of the weight of the dry base during blank making. The dry basis comprises the following components in percentage by weight: 5%-15% of CaO, 3%-10% of MgO, 20%-35% of AL2O3 and 40%-60% of SiO2, and the sintered ceramic body does not contain a forming aid. The preparation method comprises the steps of ceramic body blank preparation, blank shape treatment, blank sintering, surface treatment and shaping treatment, and finally, isostatic pressing ceramic tube shell finished products are detected and put in storage. A quaternary system formula (CaO, MgO, AL2O3 and SiO2) is adopted, the performance index is good, the isostatic pressing ceramic tube shell core is a calcium-magnesium-aluminum-silicon system ceramic system and is suitable for being matched and sealed with a metal tube shell, and compared with a traditional ternary system formula, the calcium-magnesium-aluminum-silicon system isostatic pressing ceramic tube shell has the advantages of being low in dielectric loss, large in volume resistance, large in bending strength, high in acid resistance and the like.