11results about How to "Prevent degradation" patented technology

The application discloses a combined power generation method and system based on multi-temperature-zone waste heat recovery. The combined power generation method comprises the following steps: acquiring the cell power of a fuel cell and the power generation power of a hydrogen generator, inputting hydrogen into a multi-stage power generation device to drive the fuel cell to perform a power generation operation, obtaining output first electric energy, first waste heat gas, first heat energy and unreacted hydrogen; inputting the unreacted hydrogen into the hydrogen generator to drive the hydrogen generator to perform a power generation operation according to the hydrogen and the unreacted hydrogen, obtaining second electric energy and second waste heat gas output by the hydrogen generator; acquiring the system temperature of the multi-stage power generation device when performing the power generation operation, and constructing an exhaust passage of an organic Rankine cycle generator to the multi-stage power generation device; driving the organic Rankine cycle generator to perform a power generation operation according to the exhaust passage, the first waste heat gas and the second waste heat gas, and obtaining third electric energy and second heat energy output by the organic Rankine cycle generator, so that the use efficiency of energy is improved.

This invention discloses a method for jointly regulating water resource utilization of desert riverbank vegetation based on ecological gate groups. The method includes: obtaining vegetation change patterns using a fitting method based on the kNDVI vegetation index; dividing the vegetation in the desert watershed into three vegetation distribution zones based on the vegetation change patterns and vegetation coverage; acquiring all ecological gates in the desert watershed and dividing them into multiple ecological gate groups; determining the weights of the three vegetation distribution zones for ecological protection objectives using the analytic hierarchy process (AHP), and calculating the comprehensive score of the regulation zone based on the proportion of ecological functional zones in the regulation zone; solving the joint model of the ecological gate groups using a single-objective genetic algorithm to obtain the ecological water demand and ecological water supply of each control zone when the total water shortage of all ecological gate groups is minimized; dividing the ecological gate groups into five levels based on the comprehensive score, and then activating the ecological gate groups to irrigate the irrigation area according to the ecological gate group level, ecological water demand, and the importance of the irrigation area.

This invention discloses an image segmentation method and medium for densely populated live cell regions. The method includes acquiring multiple first data pairs and preprocessing each first data pair. Each first data pair includes a single-modal master image of a live cell region and a paired real auxiliary modality image. A feature extraction network is trained using the preprocessed first data pairs, and the feature extraction network outputs a predicted auxiliary modality image corresponding to the single-modal master image. The preprocessed first data pairs and the predicted auxiliary modality image are input into a pre-trained segmentation model, and the dynamic weights of the predicted auxiliary modality image are adjusted to optimize a second loss function to obtain optimal weight parameters. The single-modal master image of the live cell image to be segmented is input into the trained feature extraction network, and combined with the optimal weight parameters, it is input into the pre-trained segmentation model to obtain the segmentation result. This method is particularly effective for accurate segmentation in densely populated regions.

The application belongs to the field of traffic flow prediction, and provides a city traffic flow prediction method, system and product under complex road network conditions, and the technical scheme is as follows: time mixing features are extracted based on city road network traffic flow time series data, intersection information between different traffic features is captured based on the time mixing features, mixed feature representation is obtained by fusing the time mixing features and the intersection information between different traffic features; global dependence in a long sequence is captured by selective state space modeling based on the mixed feature representation, and dynamic time series features are output; after the dynamic time series features are enhanced, a trailing time dimension is projected to obtain prediction values of each feature variable of the traffic time series data. In city traffic flow prediction, data can be dynamically processed according to real-time traffic conditions, multivariate information can be effectively utilized, and efficient long sequence modeling can be performed, and the prediction accuracy of time series data is significantly improved.

The application relates to the technical field of artificial intelligence aided design, and discloses a man-machine cooperation visual design method and system based on multi-dimensional literacy grading, which collects literacy features from four dimensions of technical operation, content decoding, creative application and innovation integration and vectorizes the features, constructs an adaptive grading portrait by using Gaussian mixture clustering, generates a cooperation strategy based on multi-target Pareto optimization, drives man-machine cooperation closed-loop iterative design, and realizes continuous self-optimization through multi-dimensional quality evaluation and literacy increment feedback.

This invention discloses an inverse perovskite solar cell and its fabrication method that utilizes a tetrathiofulvalene derivative to regulate the self-assembled monolayer (SAM) assembly structure. The invention uses bis(carbazolium phosphate) SAM-4PABCz as the hole-selective interface layer, employs an ethanol / NMP mixed solvent system, and introduces a tetrathiofulvalene (TTF) derivative as a dopant. By leveraging the steric hindrance effect and non-covalent intermolecular interactions of the TTF derivative, the out-of-plane π-π interactions between bis(carbazolium phosphate) molecules are weakened, inducing the molecules to shift from a high-tilt-angle "standing" stacking of SAM molecules to a low-tilt-angle near-flat arrangement. This regulation strategy effectively suppresses island-like aggregation of SAMs, reduces the interface defect state density, promotes uniform and ordered molecular stacking, and forms a uniform and dense hole-selective contact interface.

Provided is a Low-E glass plate protective sheet having excellent long-term reliability. A Low-E glass plate protective sheet is provided. The protective sheet has a PSA layer. The PSA layer has a chloride ion amount of 105 µg or less per gram of PSA, determined by hot water extraction.

This invention relates to a SiC VDMOSFET based on a non-floating buried layer and its fabrication method, comprising: an N+ substrate; an N-drift region located on the N+ substrate; a P-type non-floating buried layer extending from the surface of the N-drift region to its interior; an epitaxial N-region located on the N-drift region; a trench region extending from the surface of the epitaxial N-region to its interior, with its bottom separated from the P-type non-floating buried layer by a predetermined distance; a P+ source region extending from the bottom of the trench region until it overlaps with the P-type non-floating buried layer and is formed on the sidewall of the trench region; a Pwell region extending from the surface of the epitaxial N-region to its interior, contacting the P+ source region on the sidewall of the trench region; and an N+ source region extending from the surface of the Pwell region to its interior and contacting the P+ source region. This invention significantly improves the long-term gate oxide reliability and overall high-frequency switching performance of the device without sacrificing device symmetry or effective conduction area.

This disclosure relates to the field of face recognition technology, and provides a training method and apparatus for a face recognition model that avoids the long tail problem of data. The method includes: constructing a face recognition model; obtaining a training dataset, and executing the following loop to train the face recognition model in multiple rounds: sampling the current round of training from the training dataset using a dynamic sampler to obtain a sample set used for the current round of training; inputting the sample set into a feature extraction network to obtain a feature vector set corresponding to the sample set; inputting the feature vector set into a normalization network to normalize the feature vectors in the feature vector set; calculating a classification loss using a classification network and a contrastive loss using a contrastive network based on the feature vector set processed by the normalization network; updating the model parameters of the face recognition model based on the classification loss and contrastive loss; incrementing the training round number corresponding to the current round of training by one; and ending the loop when the training round number equals a preset round number.

The application discloses a high-small-bark-cocaine-content high-yield-type new variety of Coptis chinensis breeding method, relates to the Coptis chinensis breeding technical field, and aims at solving the low yield of Coptis chinensis. The application sets a small-bark-cocaine-content hard threshold of 5.5%, combines with actual planting related indexes such as agronomy and stress resistance, and comprehensively screens germplasm, so that the screening standard is more definite, and high-quality germplasm can be accurately screened. From field cultivation to multi-dimensional identification to three rounds of reselection, the logic is closed, the operation is standard, and the high-yield, high-quality and stable Coptis chinensis excellent single strain can be effectively directionally bred.

The application discloses a high-precision three-dimensional vision system based on multi-camera time-sharing acquisition to improve acquisition frequency, and relates to the technical field of three-dimensional vision, comprising: a time-sharing synchronous control module, which is used for generating and outputting a group of trigger signals with precise time sequence offset; an image acquisition unit array, which is composed of at least three spatially distributed image acquisition units, each unit responds to the trigger signal, and sequentially opens its image sensor for image acquisition within a unified system acquisition cycle, and the acquisition windows of each unit do not overlap in time; a time-sharing acquisition cooperative scheduling module, which is used for dynamically solving and assigning the mutually exclusive acquisition window parameters of each image acquisition unit within the acquisition cycle according to scene motion speed, illumination change and system state. The application solves the problem that the existing three-dimensional vision system is difficult to consider high frequency and high precision use scene.