7 results about "Local selection" patented technology

The present invention discloses a method and system for sorting and selecting with fixed precision based on the KT algorithm. The method comprises: generating initial sample data required for sorting and selecting according to parameters input by a user or default parameters; performing initialization settings to generate different candidate solutions, and dividing all candidate solutions into several groups; based on elimination rules and a round-by-round mechanism, each processor independently performs a local selection process for a group of candidate solutions to obtain a local optimal candidate solution; each processor generates additional observations for the local optimal candidate solution according to specific rules; then calculating the sample mean of the additional observations of each local optimal candidate solution, and selecting the candidate solution with the largest sample mean as the best candidate solution. The present invention uses the KT algorithm to efficiently solve various large-scale fixed-precision sorting and selection problems, that is, under a pre-set precision, efficiently finding the solution with the best mean performance from a large-scale set of candidate solutions.

The application discloses a crop disease identification method based on local selection and feature interaction, which adopts a deep learning image recognition technology to identify and classify crop disease images. The application firstly performs data preprocessing on the disease images, and then extracts leaf disease features through an LSFI-ViT model constructed by the application. The LSFI-ViT takes a ViT as a backbone network to extract global features of the whole image, a local selection module LSM and a local-global feature interaction attention encoder LGFIA-Former are connected in series to form an extended branch, the LSM is responsible for selecting a local area with distinguishing features in the image, and the LGFIA-Former simultaneously processes local and global feature sequence inputs through the LGFIA to obtain interactive features of the local-global. Two groups of features are respectively sent to different fully connected layers to obtain two groups of prediction results, and finally, effective identification of different crop diseases and severity is realized in an integrated voting manner. The application effectively solves the problem of unsatisfactory crop disease and severity identification.

The application relates to the technical field of Internet of Things, in particular to a method and device for selecting an intermediate node and a read-write device. The method comprises the following steps: obtaining a node selection result of a terminal device; the node selection result comprises a preliminary selection intermediate node selected by the terminal device from a set of intermediate nodes based on a local selection strategy; in the case that the node selection result of the terminal device meets a node reselection condition, determining at least one candidate intermediate node corresponding to the terminal device; the candidate intermediate node can communicate with the terminal device; selecting a reselection intermediate node corresponding to the terminal device from the candidate intermediate nodes according to a communication quality parameter between the terminal device and each candidate intermediate node of the terminal device; and controlling the terminal device to disconnect a communication connection between the terminal device and the preliminary selection intermediate node, and to establish a communication connection between the terminal device and the reselection intermediate node.

The application relates to the technical field of graph data processing, and discloses a graph alignment method and device based on GW distance, a system and a storage medium. The method first constructs an initial coupling matrix and obtains an optimization matrix for graph alignment from multiple rounds of global updating operations, and the construction and updating operations of the coupling matrix are based on a related algorithm of GW distance. Secondly, in the process of each round of global updating, a local selection block is first confirmed to ensure that an adaptive dynamic region selection strategy can be adopted in stages. Finally, the iterative updating operation in the current round of global updating is limited within the local selection block, and updating is performed according to a coupling submatrix obtained on the coupling matrix according to the local selection block, to obtain an updating submatrix, and then the coupling matrix is updated in a local range according to the updating submatrix, so that the updating range can be compressed to the local selection block range of each round under the condition that the total round number of direct updating is the same, thereby reducing the calculation complexity of the GW distance in the graph alignment task.

The present invention discloses a local area selection processing method for the inner hole of a cylinder and a local area selection processing device. The local area selection processing method for the inner hole of a cylinder comprises the following steps: obtaining the position of a target area, the target area being a local area of ​​the inner hole of the cylinder, and obtaining the position of an area to be processed according to the position of the target area, the area to be processed covers the target area and the area of ​​the area to be processed is larger than the area of ​​the target area; performing laser ablation pretreatment on the area to be processed; performing high-speed laser cladding processing on the entire area in the circumferential direction where the area to be processed is located to form a high-speed laser cladding processing layer; and directly performing honing processing on the high-speed laser cladding processing layer. The processing method of the embodiment of the present invention performs high-speed laser cladding processing on the entire area in the circumferential direction where the area to be processed is located, and can directly perform honing processing on the cladding surface of the local area without the need for other processing steps, thereby improving the processing accuracy of post-processing.

The invention relates to the technical field of natural language processing, and particularly discloses a preference alignment training method, system and device for a large language model and a storage medium. According to the method, the pre-training selector model is trained through the client according to the local preference data set, the local selector model is obtained and sent back to the server, the server aggregates the collected models to obtain the global selector model, and then the global preference data set is constructed to carry out preference alignment training on the large language model. The local preference data set of the client is always kept locally, user data leakage is avoided, the user preference data of multiple clients are fused, the comprehensiveness and diversity of the global preference data set are improved, and the preference alignment accuracy of the big language model obtained through training is improved. The method is applied to financial service systems and medical health systems such as intelligent investment advisers and medical inquiry assistance, preference requirements of consumers and patients can be accurately predicted, and high-quality services are provided.

The invention relates to the technical field of printed circuit board manufacturing, discloses a dynamic etching compensation method and system based on an Incam Pro platform, and realizes intelligent compensation processing of objects such as wiring, bonding pads, copper sheets and the like by integrating attribute recognition, automatic parameter loading, multi-stage dynamic compensation and local selection functions in Incam Pro software. The system can automatically obtain the newest process rule from the DPM database, supports compensation sequence custom and result visual verification, and remarkably improves compensation precision, automation level and process consistency. According to the method, an existing CAM platform does not need to be replaced, calling is carried out in a script mode, and the method has the advantages of being convenient to deploy, high in compatibility and high in practical value and is suitable for HDI, IC carrier boards, high-speed communication boards and other high-end PCB manufacturing scenes.