8results about How to "Avoid searching" patented technology

The application provides a method for searching exposure time and a quantum efficiency measuring system, comprising: a data processing module configured to configure fixed parameters of an image acquisition module and wavelengths of a wavelength configuration device; the image acquisition module is controlled to determine a candidate exposure time set according to a search step and an initial value of exposure time; after the wavelengths of the wavelength configuration device are configured, single-band light configured by the wavelength configuration device is received through an optical fiber bundle; a target exposure time is selected from the candidate exposure time set multiple times; images are captured multiple times under the environment of the wavelength of the wavelength configuration device; if the images do not occur light cutoff and satisfy a preset image saturation constraint condition and an image linearity constraint condition, the target exposure time is taken as a set of exposure times corresponding to the current wavelength; and a set of exposure times corresponding to the wavelength of each wavelength configuration device is searched until a set of exposure times corresponding to the wavelength of each wavelength configuration device is searched. The method is used to accurately search for exposure time meeting the linearity requirement.

Embodiments of the present disclosure disclose an adaptive memory conversion method and device for a distributed file system. A specific implementation of the method comprises: dividing a metadata set in a target directory to obtain a metadata subset group; setting a corresponding memory data structure form for each metadata subset; determining a target metadata subset; executing a corresponding access processing flow on the target metadata subset to obtain and output a final access result; obtaining access feature sets and system resource states of each metadata subset in the metadata subset group in real time to obtain a directory index set; determining memory data structure form conversion instructions corresponding to metadata subsets to be converted in the metadata subset group to obtain a conversion instruction set and a to-be-converted metadata subset group; and performing data reconstruction on the to-be-converted metadata subset group to obtain a converted metadata subset group. The implementation can improve memory utilization, reduce redundant memory occupation, and reduce unnecessary data access overhead.

This invention provides an aortic pre-fenestration branch guidewire guidance system, comprising a central catheter, a capture ring, and a sliding cannula. The capture ring is connected to the outer wall of the central catheter. The sliding cannula is coaxially sleeved on the outside of the central catheter and can slide along the axial direction of the central catheter. When the sliding cannula moves proximally, the capture ring is released from the constraint of the sliding cannula and unfolds radially outward of the central catheter, thereby forming a capture opening that can accommodate the target guidewire. When the sliding cannula moves distally, the sliding cannula radially compresses the capture ring in its unfolded state, forcing the capture ring to undergo radial compression deformation. The radial compression deformation of the capture ring reduces the cross-sectional area of ​​the portion surrounding the target guidewire, thereby clamping the target guidewire and improving the success rate.

The application belongs to the technical field of millimeter wave radar signal processing, and provides a DOA and distance parameter estimation method for near-field target positioning, comprising: receiving near-field target signals by using an array of linearly distributed array elements; wherein the number M of linearly distributed array elements in the array is greater than the number K of near-field target signals to be measured; establishing a near-field model to generate a training data set and a test data set; constructing an NFLnet network structure; the NFLnet network structure is obtained by training and testing the training data set and the test data set; obtaining an output matrix G based on the NFLnet network structure; obtaining a distance-angle two-dimensional spectrum based on the output matrix G, and determining a loss function; and minimizing the loss function to train the NFLnet network structure. By using the technical scheme of the application, the problem of solving the distance-angle coupling term parameters can be effectively solved, the high-complexity two-dimensional spectrum peak search can be avoided, and the advantages of high robustness and low complexity are achieved.

The invention discloses a Bluetooth multi-frequency distance measurement method, a distance measurement device and a computer readable storage medium. The Bluetooth multi-frequency distance measurement method comprises the following steps: acquiring fuzzy phase information measured under a plurality of different frequencies; on the basis of a first number of frequencies selected from the frequencies corresponding to the fuzzy phase information and phase values of the frequencies, calculating a non-fuzzy coarse distance estimation value through a first algorithm; wherein the first algorithm is configured to analyze the integer ambiguity of the phase; based on the second number of frequencies and the corresponding band simulation phase information, calculating a high-precision distance estimation value through a second algorithm; wherein the second algorithm is configured to suppress the influence of the phase ambiguity on the distance calculation precision by processing the decimal part information in the period with the ambiguity phase value; and carrying out weighted fusion on the coarse distance estimation value and the high-precision distance estimation value, and outputting a final distance measurement result.

This invention discloses an online scalable configuration method and system for dynamically changing time-sensitive networks (TSNs), relating to the Internet of Things (IoT) field. The invention proposes an efficient inter-flow conflict detection mechanism based on multi-level flow grouping. By using a correlation analysis of flow period and offset, it avoids traditional conflict detection methods based on link maximal cliques and link hyperperiods, enabling rapid response to large-scale data flow conflict detection needs. It designs an online incremental method based on decoupling routing and scheduling, as well as offline pre-routing, accelerating the computation speed of routing and scheduling schemes while ensuring scheduling space. This invention reduces the computational complexity of data flow set hyperperiod sensitivity and the maximum link slot occupancy in TSNs, accelerating online scheduling and providing efficient conflict detection support for online scalable configuration.

The invention discloses an ISAR (Inverse Synthetic Aperture Radar) range envelope alignment method and system based on phase difference, and belongs to the technical field of radars. The method comprises the following steps: sampling echo signals after pulse compression one by one, estimating and compensating adjacent sampling average phase change; partitioning azimuth signals in a distance frequency domain, respectively adding rectangular windows by taking zero frequency as a boundary, and sampling in each azimuth to generate an upper sideband signal and a lower sideband signal; performing three-time conjugate multiplication on four adjacent sampled signals to obtain a differential signal; obtaining an adjacent offset through maximum likelihood estimation by using the differential signal; aligning the adjacent envelopes according to an estimation result; and after the aligned envelopes are accumulated, the steps are repeated for recursion with the next sample, and finally, envelope alignment of all the samples is completed. According to the method, the sub-pixel-level distance envelope alignment precision can be realized without up-sampling and interpolation operations, and the problem of echo generation caused by amplitude modulation in a traditional amplitude dependent algorithm is effectively avoided.