7results about How to "Accurate update" patented technology

The invention provides a game score recording method and device, electronic equipment, a computer program product and a computer readable storage medium. The method comprises the steps that a first recording interface for games is displayed, a mode selection control is displayed on the first recording interface, each game comprises multiple rounds of games, the interaction score of each game is obtained by accumulating scores of all players in the multiple rounds of games, and the scores of all players in each round of games are determined and obtained based on the games result; in response to a mode selection instruction triggered based on the mode selection control, displaying a selected mode, in the selected mode, in response to a recording start instruction, displaying an initial score of each game party and a recording control corresponding to the selected mode, the recording control being used for recording the score by taking the initial score as a starting point of the score recording; and recording the score of the game partner in each round of game in the game. According to the method and the device, the score recording efficiency is improved, and the accuracy of the recorded score can be ensured.

This application provides a data processing method and electronic device. The device identifies geological information by attribute recognition, determines multiple recognition events, and filters them by confidence level, converting them into data packets carrying adjustment actions. At the same time, it calculates the difference between each data packet and the 3D geological model to determine the transmission method, prioritizing the uploading of key geological changes. After receiving the data packets, the cloud accurately locates them in the corresponding target area in the overall model using spatial anchor points and binds them. However, the bound target area may be associated with multiple data packets with inconsistent update directions. Therefore, it is necessary to construct conflict vectors and determine conflict weights for the data packets corresponding to the target area. Then, based on the adjustment actions of each data packet, the conflict vectors, and the conflict weights, the adjustment method of the target area is determined and a local update is performed. This can obtain accurate and traceable incremental update results for the model, facilitating efficient, accurate, and traceable local updates of the 3D geological model under weak network conditions.

This invention discloses a SAR image classification method and system based on scattering cues and optimal transmission, belonging to the field of synthetic aperture radar image classification technology. The main steps include: thresholding and connected component analysis of the SAR image to extract the coordinates of the image scattering center; generating scattering cues text and cues vector sequences based on the normalized coordinates of the scattering center, obtaining scattering perception text feature vectors and image feature vectors to achieve cross-modal alignment; introducing uniform edge probability to supplement global category constraints, dynamically separating clean and noisy samples; and optimizing model parameters through joint training to achieve robust SAR image classification. This invention, by introducing prior knowledge of the scattering structure unique to SAR images and combining it with the cross-modal capability of a visual-language model, effectively improves the classification accuracy and robustness under noisy label conditions, making it suitable for complex remote sensing scenarios such as disaster monitoring, military reconnaissance, and marine surveillance.

The invention provides a risk-adaptive robot hierarchical social navigation method and system, and relates to the technical field of strategy optimization, and the method comprises the steps: determining a speed fluctuation index and an acceleration fluctuation index based on the speed vector data of a pedestrian sample; performing weighted fusion on the speed fluctuation index and the acceleration fluctuation index to obtain an original uncertainty score, performing normalization on the original uncertainty score, and performing linear mapping to a preset unpredictability interval to obtain an unpredictability score; taking the robot state data sample, the pedestrian state data sample and the unpredictability score as input, taking a preset navigation point of the robot, an expected cruising speed of the robot and a prudent coefficient as output, and performing iterative training and optimization on the initial prediction network model in combination with near-end strategy optimization to obtain a target prediction network model; and inputting the current robot state data, the pedestrian state data and the unpredictability score into the target prediction network model, and determining a current navigation strategy.

The application relates to the technical field of battery management, and discloses a battery active balancing system based on a three-stage power electronic switch, which comprises a control end, a topology end and a balancing end that operate cooperatively; when active balancing management of a battery cluster is performed, the electrical and health states of each cell unit are synchronously monitored in real time by establishing a hierarchical digital mirror model, and balancing trigger strategies including threshold trigger strategies, periodic trigger strategies and predictive trigger strategies are preset, so that the system can predict the inconsistency development trend based on the aging model of the battery and the current operating condition, and the balancing is initiated in advance before the performance difference reaches a critical point, the balancing control is changed from passive response to active intervention, the timeliness and foresight of the balancing action are improved, and finally the maintenance of the overall available capacity of the battery cluster and the prolongation of the cycle life are promoted.

The invention relates to a battery state prediction method and device, a storage medium, a battery and a vehicle, and the method comprises the steps: carrying out the updating of different battery state parameters based on different updating frequencies, and predicting the state of the battery based on the updated battery state parameters, the battery state parameters comprise at least two of charge state parameters, battery model parameters and capacity parameters. According to the method and the device, updating requirements of different battery state parameters can be better adapted, so that the updated battery state parameters can be more accurately used for updating the battery state parameters.

The invention relates to updating annotation points in digital images. A mechanism for updating coordinates of annotation points in digital images due to camera movement is provided. A method performed by an image processing device. The method comprises obtaining a current digital image of a scene. The current digital image has been captured by a camera after movement of the camera relative to the scene. The current digital image is associated with at least one annotation point. Each of the at least one annotation point has a respective coordinate in the current digital image. The method comprises identifying a movement amount by comparing location indication information in the current digital image with location indication information in a previous digital image of the scene. The previous digital image has been captured before the movement of the camera. The method comprises updating the coordinate of each of the at least one annotation point in accordance with the identified movement amount and a camera homography.