5 results about "Pattern search" patented technology

The application discloses a short-wave infrared high-NA achromatic superlens design method based on Latin square partition and hybrid optimization, and belongs to the technical field of micro-nano optics. Firstly, an electromagnetic response database of a silicon dioxide substrate-silicon nanometer cylindrical unit is constructed, covering a 2.1-2.3-micron wavelength band; then equal-area ring-belt-fan partition is adopted in combination with Latin square wavelength distribution, so that multiple wavelengths are uniformly distributed in the ring-belt and sector directions; a high-NA evaluation function containing a radial quadratic position weighting factor is constructed, so as to strengthen the optimization weight of the edge phase of the lens; finally, a genetic algorithm-pattern search three-stage hybrid collaborative optimization is executed, and the optimal nanometer structure size distribution is obtained through global search, local convergence and pixel-level discrete fine adjustment. The application can significantly suppress wavelength crosstalk and chromatic aberration, realizes broadband achromatic focusing under the condition of a numerical aperture NA=0.915, and the focal length variation coefficient is only 3.45%, the focused light spot is close to the diffraction limit, and the application is suitable for short-wave infrared high-NA imaging applications such as gas detection and environmental monitoring.

A storage device enables a host to search for data stored across channels on a memory device without reading the user data stored on the channels. The storage device includes a memory device including user channels to store user data and a hash channel to store hash data associated with the user data. The hash data is used to identify the user data. A controller on the storage device generates the hash data including hint data during storage of user data on the user channels. The controller receives a hint from the host, generates a request and submits the request to a pattern search engine. The controller sends a hint response including flash translation indices to the host, based on a response from the pattern search engine. The host may read the flash translation indices to request data stored at a specific location in the user channels.

The present invention provides a ray tracing-based method for indoor multi-base station location optimization in a millimeter wave frequency band, comprising: constructing an indoor millimeter wave network model; determining an indoor millimeter wave network model optimization constraint condition; constructing a cost function of multi-base station location deployment on the basis of the constraint condition; determining the initial location of each base station in the indoor millimeter wave network model; and by taking the initial location of each base station as a starting point, determining an optimal location of each base station by means of axial search together with pattern search. According to the present invention, a good balance can be achieved between the accuracy of optimization results and the complexity of optimization algorithms for the multi-base station deployment optimization problem, so that the optimized base station locations can provide high-quality signal coverage for an indoor millimeter wave network.

A high-speed target detection method based on a spaceborne measurement radar with binary phase-coded signals comprises the following steps: 1. Dividing the target detection process into stages; 2. Dividing the range segments according to radar detection range requirements to obtain multiple range modes; 3. Classifying the speed according to radar velocity measurement requirements; 4. Determining the priority of range mode selection during full-range mode search and the priority of speed level selection during full-speed level search; 5. Developing search strategies and search-to-tracking strategies for each range mode; 6. Developing speed selection and update strategies when calculating the phase increment of the target echo using Doppler compensation during the target search stage; 7. Developing speed selection and update strategies when calculating the phase increment of the target echo using Doppler compensation during the target tracking stage; 8. Continuously tracking and measuring the target to obtain target information. This invention effectively solves the problem of high-speed target detection, is not limited by radar system, and has a wide range of applications.

This invention discloses a novel swarm intelligence optimization algorithm integrating multiple strategies. The method steps are as follows: S1, initialize the Tibetan fox population and dynamic territory; S2, adaptively adjust the territory division using nonlinear dynamic parameters combined with population distribution; S3, integrate PSO, DE, and gradient search strategies to dynamically adjust the selection probability to achieve precise local development; S4, design an adaptive migration mechanism; S5, maintain population diversity through subpopulation co-evolution and periodic information exchange; S6, add a globally optimal guided pattern search to improve convergence accuracy; S7, complete population update using elite retention and dynamic elimination strategies. Compared with existing technologies, this invention's core parameters are dynamically adjusted nonlinearly, balancing exploration and development. Experiments verify that it has better accuracy and robustness in multi-function optimization, and its performance in practical applications is significantly better than PSO and GA. It can be widely used in engineering optimization, machine learning hyperparameter tuning, and other fields.