6results about How to "Offset negative effects" patented technology

The application discloses a low-power-loss image compression processing system based on an ISP chip and particularly relates to the technical field of data compression. The application quantifies compression difficulty through parameters such as edge texture density, pixel fluctuation amplitude and uniform area proportion, quantifies image redundancy degree in combination with neighborhood correlation performance value, image entropy value and high-frequency component proportion, completes double-dimension feature grading and linkage matching of hardware power consumption quota, encoding combination and compression performance benchmark, realizes dynamic fine scheduling of hardware computing power and power consumption resources, avoids resource waste caused by simple images, guarantees the compression quality of complex images and effectively achieves the low-power-loss operation target.

A method for dynamic beam optimization in satellite communication and a satellite communication terminal are disclosed. The terminal has a locally pre-installed hybrid architecture deep learning model. The specific steps are as follows: The terminal collects spatiotemporal feature data such as space, time, orbit, interference, and position in real time and stores it in a local historical database; it calculates the instantaneous phase angle of the satellite based on the position features and satellite ephemeris, identifies the scene type, and adapts the interference features to obtain optimized features; it extracts historical multi-frame spatiotemporal position features that match the current phase angle, combines them with the optimized features to construct a multi-dimensional feature matrix, inputs it into the model, and outputs spatial and temporal feature scores; it calculates dynamic weights by combining real-time interference and scene, balances the spatiotemporal score decision ratio, integrates historical reputation scores to calculate a comprehensive beam score, selects the optimal beam, and stores the decision result back into the local historical database. This invention integrates spatiotemporal multi-dimensional features, scene-based signal processing, and local deep learning inference to achieve beam optimization, improving the reliability of satellite communication and the efficiency of beam decision-making.

The invention belongs to the technical field of large-area photovoltaic cells, and particularly relates to a method for realizing mechanical planarization of the surface of a perovskite thin film through blade coating and a preparation method of a perovskite solar cell. The method comprises the following steps: firstly, preparing an initial perovskite layer by adopting a blade coating, gas quenching and annealing process, and then dropwise adding an alcohol auxiliary solution to carry out blade coating, gas quenching and annealing treatment again to flatten the surface of the initial perovskite layer so as to obtain a final perovskite thin film layer; the uniformity and smoothness of the upper surface of the thin film are effectively improved through the dropwise adding of the auxiliary solution and the synergistic effect of the two times of blade coating, gas quenching and annealing processes. When the perovskite solar cell is applied to the perovskite solar cell, the carrier transmission efficiency between a perovskite light absorption layer and an electron transmission layer is effectively improved; the moisture absorbed by the thin film in the blade coating process is reduced, and the damage of the moisture to the perovskite thin film in the subsequent annealing process is reduced, so that the overall performance of the perovskite solar cell is effectively improved.

This invention relates to the field of image recognition technology, and more particularly to a method and system for automatic correction of image annotation boundaries based on semi-supervised learning. The system includes: an image processing module, comprising an acquisition unit for acquiring the image to be corrected and the features of the labeled boundary; a model training module, comprising a model training unit for training an initial model based on the labeled boundary features; a boundary correction module for detecting and automatically correcting the boundary features to be corrected according to a semi-supervised learning model; a matching degree adjustment module for determining the matching degree of the temporal features of the image to be corrected based on the acquisition clock offset of the image to be corrected; a pseudo-label adjustment module for determining the iterative evolution rate of pseudo-labels based on the rate of increase of the test set boundary error in the prediction model; and a learning rate adjustment module for determining a noise robustness learning rate scaling factor based on the noise proportion in the pseudo-labels. This invention improves the stability of image annotation boundary correction.

This invention relates to the field of next-generation livestock farming technology, specifically to a ventilated pigsty, comprising a pigsty body, a driver, a first cylinder, and a second cylinder. The first cylinder is equipped with a first piston, which is driven by the driver via a first piston rod. The first piston has a vent hole with a valve. The first cylinder and the second cylinder are connected by a one-way valve. The inner diameter of the second cylinder is smaller than that of the first cylinder, and there are multiple second cylinders. The second cylinder is equipped with a second piston, and an elastic element abuts against the end of the second cylinder away from the one-way valve. A filter cartridge is connected to the second cylinder, and the second cylinder and the filter cartridge are connected by a perforation. The filter cartridge is filled with deodorizing material and / or dust-removing material. An air outlet is provided at the end of the filter cartridge away from the perforation, and an air inlet is provided at the end of the first cylinder away from the one-way valve. This design ensures continuous ventilation while preventing odor leakage and continuously improving the air quality inside the pigsty.

This invention relates to the field of intelligent connected vehicle technology, addressing the shortcomings of existing intelligent connected vehicle communication network trust assessment and consistency coordination. Specifically, it relates to a collaborative control method for trusted interaction among intelligent connected vehicle groups under a zero-trust architecture. By fusing direct and indirect trust functions to obtain a dynamic comprehensive trust assessment function, it achieves real-time fusion of the global communication network and the comprehensive trust calculation model, accurately quantifying the degree of interaction between vehicles and significantly improving the safety performance of ICV group interaction. A distributed collaborative control algorithm based on state feedback adapts to differences in vehicle trust levels, achieving the goal of consistent coordination among vehicle queues and ensuring the stability of collaborative control in dynamic communication scenarios for the ICV group. The integrated design of zero-trust security protection and vehicle communication network allows the security of communication relationships in the ICV group system to be updated in real time, adapting to the communication topology changes under dynamic vehicle movement.