5results about How to "Avoid computational complexity" patented technology

The application belongs to the technical field of magnetic thrust bearing vibration reduction and isolation, and provides a reluctance composite permanent magnetic thrust bearing based on a Halbach array and a non-equal-length annular magnetic group magnetic force calculation method. The stator adopts an annular magnetic group and damping ring alternately arranged configuration, the magnetic force generated by the interaction between the stator and the rotor annular magnetic group is used for non-contact bearing, and the damping ring cuts the magnetic induction lines to generate a damping effect when the annular rotor magnetic group generates axial movement, thereby inhibiting the vibration under the impact load and improving the vibration reduction effect; meanwhile, the Halbach array is used to effectively improve the unit volume bearing capacity and damping effect. In addition, the magnetic dipole moment method and the Monte Carlo method are used for non-equal-length complex magnetic body axial force calculation, the four-fold integral calculation problem is avoided, the calculation is simple, accurate, practical and has high engineering application value.

This invention discloses a method for navigating large cargo transport in complex curved road environments using a two-vehicle cooperative system. The method includes: constructing a double-layer grid map to represent the hierarchical spatial constraints of the transport vehicles and cargo; using the A* algorithm to perform articulation point path search and generate an initial trajectory that satisfies topological constraints; detecting collision regions using an algorithm combining directed bounding boxes and the separating axis theorem; and performing distributed trajectory optimization in the collision regions based on the alternating direction multiplier method and model predictive control algorithm. The two-vehicle cooperative transport group is decomposed into a transport vehicle subsystem and a cargo subsystem, achieving trajectory optimization while satisfying dynamic constraints, articulation geometric constraints, and obstacle avoidance constraints. This invention solves the problem of navigating two-vehicle cooperative transport groups on curves.

The invention belongs to the field of electric power, and discloses a method and a device for constructing an electromagnetic equivalent model of a wind power plant. Selecting a target electromagnetic transient model from the pi-type lumped parameter line model and the distribution parameter line model for each section of current collection line; selecting a grouping strategy of the wind turbine generator according to a target frequency band concerned by electromagnetic transient analysis; for a scene needing to execute dynamic grouping, a K-means clustering algorithm based on an improved bird flock algorithm is adopted to perform grouping on the wind turbine generator set so as to determine an optimal clustering center; and on the basis of the target electromagnetic transient model and the grouping result of the wind turbine generator sets, performing parameter equivalence calculation on the generator sets in the same cluster by adopting a capacity weighting algorithm so as to complete construction of the electromagnetic equivalence model of the wind power plant.

The invention discloses a noise estimation method and device for an orthogonal frequency division multiplexing communication system, and the method comprises the following steps: S1, calculating respective initial noise estimation matrixes on subcarriers based on a received training sequence; s2, on the basis of the initial noise estimation matrix, a measurement parameter vector used for representing noise characteristics of each subcarrier is obtained through calculation, and the dimension of the measurement parameter vector is equal to the number of the subcarriers; s3, dynamically and adaptively dividing all the subcarriers into one or more continuous frequency segments according to the measurement parameter vector, and determining the dividing boundary by the change characteristic of the measurement parameter vector in the frequency domain; and S4, for each frequency segment obtained by division, based on the initial noise estimation matrix corresponding to the subcarriers contained in the segment, calculating a noise covariance matrix of the segment, so that colored noise can be more effectively converted into white noise, the detection error of the signal is remarkably reduced, and the receiving performance and demodulation reliability of the whole communication system are improved.

This invention discloses a fast and high-precision cell identification and segmentation method, which includes performing affine and magnification transformations on cell images and corresponding masks, calculating the center mask, constructing a multi-coder-autoencoder model, training the network model, using the network model for cell identification and segmentation, and using the watershed algorithm to segment the cell image to obtain individual cell images and masks. This invention overcomes the shortcomings of traditional semantic segmentation-based algorithms in handling cell adhesion, while also incorporating the advantages of instance segmentation algorithms for cell segmentation. At the same time, it avoids the space and computational complexity brought about by using instance segmentation algorithms, and has the beneficial effects of simple model, high compatibility, fast speed and strong scalability.