10 results about "Periodic wave" patented technology

A spread spectrum switching power conversion circuit, a clock generation circuit and a clock generation method. The spread spectrum switching power conversion circuit includes: a power stage circuit including an inductor and a power switch for switching the power switch to perform power conversion according to a switching signal with spread spectrum; a variable frequency oscillator for generating a spread spectrum clock signal according to a spread spectrum control signal; a spread spectrum control circuit for generating the spread spectrum control signal according to a first clock signal and a second clock signal; and a pulse width modulation circuit for generating the switching signal according to a feedback signal based on the spread spectrum clock signal; wherein the spread spectrum control circuit samples and operates a first periodic waveform with periodicity and a first random waveform with randomness to generate the spread spectrum control signal. The first random waveform is generated according to the first clock signal, and the first periodic waveform is generated according to the second clock signal.

The disclosure relates to a grating for optical measurements comprising: a base plate extending in a plane in two spatial directions; a plural number q of periodic patterns, each with a surface and space periodic wave optical mask and each with a different interval frequency; wherein the periodic patterns are arranged adjacent each other in the base plate. The disclosure further relates to a grating, an assembly for measurements of one or more optical parameters of a medium and a method of using the assembly.

This invention proposes a design method for an omnidirectional icebreaker wave generator in actual ice-covered sea areas. First, data collection and processing are performed, collecting and processing relevant information about the target sea area and sea ice. Then, based on the potential flow theory model, the wave generation period interval, sea ice strain response, wave height scaling factor are calculated. The wave height scaling factor is used to calculate the target wave height and maximum stroke, resulting in the target period wave. Finally, the target period wave is used to obtain the wave generator shape curve, completing the wave generator design.

This application provides a power consumption simulation method for a system-on-a-chip (SoC). The method includes: acquiring a preset case for the SoC, the operating state of each intellectual property core (IP core) of the SoC when running the preset case, and operating parameters of the SoC, wherein the operating state indicates whether the IP core participates in running the preset case; simulating a periodic waveform file of the SoC running the preset case based on the preset case, the operating state of each IP core, and the operating parameters; and performing power consumption simulation on the periodic waveform file using a power consumption simulation tool according to the operating state and operating parameters of each IP core to obtain a periodic simulated power consumption waveform.

The disclosure relates to a method for measuring particle size of particles suspended in a fluid, the method comprising modulating (S1) radiation with a periodic wave optical mask; illuminating (S2) the fluid with the modulated radiation; detecting scattered radiation and / or transmitted radiation (S3-1) with a 2D detector capturing an image at a first modulation frequency; detecting scattered radiation and / or transmitted radiation (S3-2) with a 2D detector capturing an image at a second modulation frequency; extracting (S4) a first image for the first modulation frequency and a second image for the second modulation frequency, respectively; calculating(S5) a first extinction coefficient for the first modulation frequency and the second modulation frequency, respectively, based on the first extracted image and the second extracted image, respectively; determining the size (S7) of the suspended particles based on the relationship between the first calculated extinction coefficient and the second calculated extinction coefficient. The disclosure further relates to an assembly for measuring particle size of particles suspended in a fluid.

The present application relates to the technical field of micro-nanoparticle separation, and in particular to a particle sorting micro device, system and method based on a periodic wave design. The present application provides a particle sorting micro device based on a periodic wave design, comprising: a substrate, a first excitation electrode, a second excitation electrode, a cover, and a bipolar electrode. The particle sorting micro device designed by the present application is different from the traditional direct current channel, and a special-shaped micro channel structure is designed, and the periodic wave is used to achieve the pre-focusing effect on mixed particles. The present application realizes the separation of particles in the micro channel by applying excitation signals to the two excitation electrodes. The present application solves the problems of complex operation, high cost and low integration degree of the existing particle separation device using a single dielectrophoresis principle.

This invention belongs to the field of ocean wave observation technology and discloses a wave parameter inversion method based on a pressure sensor array under strong tidal conditions. The method includes synchronously acquiring pressure time series and mean water depth of the pressure sensor array; constructing a dynamic localized tidal model for each sensor and generating tidal forecast sequences; calculating the common pattern of the tidal forecast sequences of all sensors in the array and subtracting it from the original data; then performing singular value decomposition on the subtracted data matrix to obtain a pure wave pressure signal; and using the array cross-spectrum matrix and fusing the main tidal current direction extracted from the local tidal model as a priori constraints, employing an iterative maximum likelihood method with a penalty function to invert the high-resolution wave direction spectrum. This invention can effectively separate wave signals under conditions of short observation sequences, strong tidal interference, and data discontinuity, completely preserving long-period wave information, eliminating tidal residual inconsistencies between sensors, and significantly improving the accuracy and stability of wave direction inversion.

This invention discloses a method and system for capturing collisions of navigation aids based on shore-based video, relating to the field of waterway navigation aid supervision. First, the shore-based video stream is adaptively enhanced with defogging and image stabilization. A dual-stream deep learning algorithm is then used for pixel-level recognition and semantic segmentation of the vessel and navigation aid. Subsequently, a spatiotemporal interaction model is constructed to calculate the relative motion trend and mask overlap index of the two in real time. Frequency domain analysis technology is used to filter out the periodic wave displacement of the navigation aid and extract the non-periodic abrupt displacement caused by the collision. Finally, based on multi-criteria judgment of overlap and abrupt displacement, the system automatically triggers the extraction and preservation of multi-dimensional evidence. This system includes modules for video acquisition, pixel-level recognition, interactive analysis, interference filtering and judgment, and evidence preservation. This invention solves the pain points of significant interference in the marine environment, difficulty in obtaining collision evidence, and high false alarm rates, significantly enhancing the intelligence and rule of law level of navigation aid supervision.

The application belongs to the technical field of ocean wave observation, and discloses a wave parameter inversion method under strong tidal environment based on a pressure sensor array. The method comprises the following steps: synchronously collecting pressure time sequences and average water depths of the pressure sensor array; for each sensor, a dynamic localized tidal model is constructed and a tidal prediction sequence is generated; a common mode of tidal prediction sequences of all sensors of the array is calculated and deducted from original data, and a singular value decomposition is performed on the deducted data matrix to obtain pure wave pressure signals; based on an array cross-spectrum matrix and by fusing a tidal current main flow direction extracted from the local tidal model as a priori constraint, an iterative maximum likelihood method with a penalty function is used to invert a high-resolution wave direction spectrum. The application can effectively separate wave signals under the conditions of short observation sequences, strong tidal interference and data discontinuity, completely retain long-period wave information, eliminate tidal residual inconsistency between sensors, and significantly improve wave direction inversion accuracy and stability.

The application relates to the technical field of marine engineering environment parameter calculation, and discloses a deepwater wave element calculation method suitable for long-period waves, which comprises the following steps: using global-scale ocean wave dynamics model output boundary wave parameters as boundary conditions; inputting the boundary conditions into a regional nearshore wave mathematical model to calculate and simulate parameters; comparing observed wave data with the simulated parameters, selecting a white cap dissipation coefficient with the minimum root mean square error, and feeding back the white cap dissipation coefficient to the model; using reanalysis wind field data to drive the regional nearshore wave mathematical model after the parameters are updated to generate a wave element set; extracting a wave element time sequence from the wave element set, screening and extracting annual extreme characteristic values according to a preset target period interval to generate an annual extreme sequence; fitting the annual extreme sequence by using a probability density curve, and outputting deepwater wave element return period extremes in combination with return period parameters. The application makes up for the defects of long-period swell energy loss in the open sea, and improves the accuracy of deepwater wave element extreme value calculation.