7results about How to "Avoid computational overhead" patented technology

This invention relates to a method for patent retrieval and technology monitoring of multi-source heterogeneous data. It constructs a multimodal semantic representation including text, images, and time-series fragments, and generates a joint temporal representation vector by combining attention perturbation entropy and term evolution distance. A unified semantic space is established based on historical technology anchors, dynamically monitoring and quantifying semantic shifts to achieve real-time determination of drift trends. When substantial semantic drift occurs, local semantic correction is performed using gated contrastive learning and an anchor-aware adaptation layer to guide the orderly alignment of newly added modal features, ensuring the continuation and expansion of the original semantic topology. Simultaneously, an anchor decay and candidate new anchor generation mechanism is designed, combining cross-validation from patent citations, industry reports, and policy documents to achieve incremental expansion of the semantically stable anchor set. This scheme effectively improves the fusion accuracy, real-time adaptability, and dynamic topology update capability of multimodal patent data.

The application provides an improved tabu search topology optimization method of a marine wind farm power collection system, which is based on the positions of wind turbines to intelligently preliminarily group and sort, to form an initial connection scheme, to connect all the wind turbines in each group with the minimum cost, to calculate the group cable cost, to check whether the lines cross, to impose a penalty in the total cost if the lines cross, to ensure that the scheme is feasible, to compare the current scheme with the historical best, to update the record and intelligently exchange the wind turbine groups to explore a new scheme, to repeat the optimization process until the number of iterations is satisfied, and to finally output a globally optimal topology scheme. The application has the advantages of better optimization effect, significantly improved economy, higher calculation efficiency, stronger engineering practicability, better algorithm robustness, better scheme reliability, high design automation degree and strong auxiliary decision-making capacity.

This invention provides a method and apparatus for decision-making and execution in a creative workflow based on an AI agent. The method includes: normalizing natural language instructions to obtain normalized text; inputting the normalized text into a rule engine to generate a first modality and its first confidence level; if the first confidence level is greater than or equal to a first threshold, determining the first modality as the target modality; otherwise, inputting the normalized text into a pre-trained modality classification model for inference to generate a second modality and its second confidence level; if the second confidence level is greater than or equal to a second threshold, determining the second modality as the target modality; otherwise, triggering a user fallback confirmation process to receive user confirmation of the target modality; and forwarding the natural language instructions to the work creation engine corresponding to the target modality to generate the target work. This invention achieves automated and intelligent determination of creative modalities, simplifies user operation processes, and improves user interaction experience and the efficiency of creative workflow decision-making and execution.

This invention discloses a privacy-preserving vector database query method, comprising: each server obtaining a query vector secret share and performing a linear transformation to obtain a transformed query vector secret share; sending the locally held transformed vector data secret share and the transformed query vector secret share to semi-trusted hardware; the semi-trusted hardware performing a nearest neighbor search to obtain the nearest neighbor vector and its corresponding index; sharing the nearest neighbor vector and the one-hot vector corresponding to the index with each server; each server performing a dot product calculation between the one-hot vector secret share and the locally held label secret share to obtain a query result label secret share; performing an inverse linear transformation on the nearest neighbor vector secret share to obtain a query result vector secret share; and sending the query result label secret share and the query result vector secret share to the user terminal; the user terminal reconstructing the query result vector and the query result label.

This invention belongs to the field of load forecasting, and specifically relates to an automatic optimization method and system for electricity spot trading strategies. It includes: a data acquisition and processing module for acquiring and preprocessing multi-source time-series data; an electricity price forecasting module for inputting high-dimensional feature vectors into an electricity price forecasting model and outputting high-dimensional electricity price forecast vectors for future scheduling cycles; a strategy generation module for inputting high-dimensional electricity price forecast vectors into a strategy generation model and outputting a trading strategy parameter set; and an adaptive calibration module for online calibration of the electricity price forecasting model according to a preset calibration strategy. The preset calibration strategy involves real-time monitoring of the moving average of the high-dimensional electricity price forecasting error and the statistical drift index of the data distribution. When the error threshold is exceeded or the drift exceeds a preset confidence interval, an incremental parameter update mechanism is triggered. This invention solves the problem in existing technologies where static forecasting models cannot adapt to the non-stationary environment of the power system, leading to a decrease in forecast accuracy and consequently, strategy failure.

This invention relates to the field of blockchain technology and provides a method, apparatus, electronic device, and storage medium for tracing electricity consumption data. The implementation scheme is as follows: A preset electricity traceability model is invoked to standardize and model the electricity consumption data of each user, obtaining various triplet data sets, which are then stored on the blockchain; a composite index structure is constructed based on the first field of each triplet data set, wherein the composite index structure includes a traceability positioning table and a multi-bucket index structure; responding to a query request from a target user, cross-block positioning is performed based on the second field in the query request and the traceability positioning table to obtain a cross-block traceability link; according to the second field and the multi-bucket index structure, intra-block data extraction is performed on each block in the cross-block traceability link to obtain the target traceability result; the target traceability result is then sent to the target user. This invention can improve traceability efficiency.

This application discloses a positioning and navigation method, apparatus, device, storage medium, and computer program product to solve the problem that existing positioning and navigation schemes cannot provide accurate real-time navigation guidance to users in complex environments when a preset map is lacking. The method includes: performing feature recognition on at least two perspective 2D images corresponding to a target object to determine a target region in the 2D images; performing semantic segmentation on the target region to obtain a semantic segmentation mask corresponding to the target region; generating a 3D model corresponding to the target object based on the semantic segmentation mask and the 2D images; determining the pose information of the device to be navigated within the 3D model based on environmental video and motion data collected by the device to be navigated; generating a navigation path based on the position information of the target region and the pose information; and sending the navigation path to the device to be navigated for navigation guidance.