4results about How to "Avoid choice" patented technology

The application discloses a muscle synergy analysis method based on surface electromyogram signals, and comprises the following steps: S1, collecting multi-channel surface electromyogram signals; S2, determining the number of muscle synergies by taking explained variance as the standard of the number of muscle synergies; S3, extracting muscle synergy features, and according to the envelope signal matrix Z i×r and the number of muscle synergies n, performing non-negative matrix decomposition on the envelope signal matrix Z i×r , and introducing a sparse constraint in the decomposition process, so that the process of extracting muscle synergy features is converted into an optimization problem; S4, obtaining a reconstructed matrix HY res obtained according to the optimization problem in step S3, that is, a decomposition result; S5, performing normalization processing on the synergy structure matrix H res , obtaining muscle activation states under different muscle synergy modules and analyzing the muscle activation states, obtaining a muscle synergy mode in the movement process, and calculating a reconstruction precision and a sparse degree. The method can achieve higher reconstruction precision and sparse degree in muscle synergy analysis, so that the quality and interpretation ability of data decomposition are improved.

The invention discloses a flexible direct-current transmission line protection method and system based on modulus high-frequency components. The method comprises the following steps: acquiring a fault characteristic frequency range in a transmission line area in advance by using a full-element analysis method; thirdly, collecting positive voltage and negative voltage of a multi-terminal flexible direct current power transmission line protection installation position at multiple different moments, and realizing protection starting detection by using positive and negative break variables; the positive electrode grounding fault, the negative electrode grounding fault and the bipolar fault are detected by using the accumulated zero-mode voltage; and finally, according to a fault line mode voltage characteristic frequency range in a preset area and a multi-dimensional variational mode decomposition algorithm, carrying out time-frequency characteristic component extraction on the line mode voltage of the line, and constructing an adaptive peak voltage quantitative index to realize quantitative detection on the fault area of the power transmission line. According to the invention, a full-element analysis method, a multi-dimensional variational mode decomposition algorithm and a self-adaptive voltage peak value are utilized, so that the single-ended protection method can tolerate 1500 ohm transition resistance, and the sensitivity of the protection method is effectively improved.

The application relates to the technical field of materials, in particular to a wave-absorbing material parameter determination method and device, computer equipment and a storage medium. The wave-absorbing material parameter determination method is applied to a wave-absorbing material to be optimized, and the method comprises the following steps: solving sub-objective functions of various material parameter categories in the wave-absorbing material to be optimized to obtain single-objective optimal solutions of the sub-objective functions; determining corresponding linear membership functions according to the single-objective optimal solutions for the various material parameter categories; constructing a comprehensive fuzzy objective function of the wave-absorbing material to be optimized according to the intersection of all the linear membership functions; taking the various material parameter categories in the wave-absorbing material to be optimized as a solving target, optimizing and solving the comprehensive fuzzy objective function based on a hybrid optimization algorithm to obtain a comprehensive optimal solution; and determining the various optimization values in the comprehensive optimal solution as optimization target values of the corresponding material parameter categories. A multi-layer wave-absorbing material capable of balancing various material parameter categories such as thickness, wave-absorbing characteristics and frequency bandwidth is provided.

This invention discloses a distributed heterogeneous flexible assembly workshop scheduling method with transfer functionality. It includes the following steps: setting assumptions and basic parameters; proposing corresponding constraints based on the problem under study; constructing a bi-objective optimization model with the objectives of minimizing maximum completion time and minimizing total processing energy consumption. This bi-objective optimization model is used to optimize the flexible assembly workshop scheduling considering factory processing capacity, transportation stages, and workpiece transfer. Based on the process sequence, factory selection, and machine selection, a three-segment encoding and decoding mode corresponding to the bi-objective optimization model is designed. Based on the three-segment encoding and decoding modes, an improved multi-objective genetic algorithm based on Q-Learning is used to solve for the optimal scheduling scheme. This invention considers factors such as workshop processing capacity, collaborative processing, and transportation stage time, arranging the process sequence, factory, machine, and assembly workshop selection from a global optimization perspective.