5results about How to "Low latency requirement" patented technology

The present disclosure relates to a text rewriting method and device, electronic equipment and computer program product, belonging to the technical field of natural language processing. The method comprises: obtaining first text data input by a user, and obtaining first input data according to the first text data and key data related to a role-playing model, wherein the key data contains role setting data and effective historical interaction data of the role-playing model; inputting the first input data into a rewriting model to obtain second text data after rewriting, wherein the training data of the rewriting model is obtained by screening through a scoring model; inputting the second text data into the role-playing model to enable the role-playing model to interact according to the second text data. The present disclosure can improve the quality of the rewritten text by rewriting the ambiguous text input by the user, make the role-playing dialogue more fluent and the emotion more consistent, and thus improve the user experience.

This invention discloses a method for active user detection in a distributed large-scale MIMO-UFMC system based on a covariance algorithm, applicable to the communications field. First, a signal model of the frequency-domain received signal in a large-scale MIMO universal filter multi-carrier system is given, deriving expressions for odd and even components. It is found that even components are independent of transmitted data and unaffected by inter-block interference and inter-carrier interference. A maximum likelihood detection problem is constructed using a covariance-based method, taking the received signal of each user's dominant AP cluster as input to obtain the cost function for each user. Iterative optimization is performed on the activity indicator factor until the cost function no longer decreases, completing the active user detection. This invention effectively improves detection performance by utilizing the differences in system fading coefficients between different access points and the sparsity of active users.

The application relates to a method and device for processing fragmented data, equipment and a storage medium. The method comprises the following steps: receiving target fragmented data to be processed; generating a target group number corresponding to the target fragmented data according to a multicast sequence number, a market channel sequence number and a message sequence number included in the target fragmented data; in the case that the target fragmented data is not the first fragmented data of a UDP message, determining a target storage area for storing the target fragmented data according to the target group number and a preset storage area set, wherein the target storage area is arranged in a cache space or an additional storage space; storing the target fragmented data into the target storage area; reading fragmented data stored in each storage area and performing recombination output. The method can effectively improve the processing efficiency of the fragmented reading and recombination link, and can meet the low-latency and high-reliability requirements in a high-frequency trading scenario.

This invention relates to the interdisciplinary fields of biomedical engineering, artificial intelligence, and neuromodulation, and provides a cognitive fatigue assessment and electrical stimulation intervention system based on a combined EEG-behavioral AI model. The system includes: a data acquisition and preprocessing module for simultaneously acquiring and preprocessing the user's EEG signals and behavioral data; a real-time fatigue assessment module for extracting and fusing features from the preprocessed EEG signals and behavioral data using the combined AI model, outputting the user's real-time fatigue assessment results; the combined AI model is constructed based on the Transduction Information Maximization (TIM) algorithm to achieve cognitive fatigue assessment in scenarios with few samples; and a closed-loop electrical stimulation intervention module for dynamically adjusting transcranial electrical stimulation parameters and performing targeted intervention based on the real-time fatigue assessment results. This invention achieves real-time, accurate detection and personalized targeted intervention of cognitive fatigue states through multimodal data fusion and closed-loop intervention.

The application discloses a kind of automatic wharf horizontal transport equipment dirty detection method and device, construct first level convolutional neural network for detecting IGV from image and second level convolutional neural network for detecting dirty area from IGV, first level convolutional neural network and second level convolutional neural network are constructed into double-branch cascade detection model, the original image obtained from the automatic wharf operation scene is input as the double-branch cascade detection model, and the first level convolutional neural network identifies IGV from complex scene, and outputs the image labeled IGV boundary box, according to the boundary box, IGV subgraph containing only IGV image is cut out from image, so as to remove background interference and transmit to second level convolutional neural network, and second level convolutional neural network focuses on detecting dirty area from IGV subgraph, so as to improve the detection efficiency and detection precision of IGV dirty area.