5results about How to "Avoid submersion" patented technology

The application discloses a ship radiation noise line spectrum estimation method based on multi-snapshot sparse Bayesian learning, and belongs to the field of underwater acoustic signal processing; the method utilizes the sparse characteristics of the ship radiation noise line spectrum, that is, the line spectrum is not uniformly distributed in the whole frequency range, but is discrete and sparse, converts the line spectrum estimation problem into a sparse signal recovery problem, so as to solve the problems in the background technology, under the condition that the data sample length is limited and the sparsity is unknown, the Bayesian framework utilizes probability modeling to adaptively adjust the hyperparameters from the global optimization angle, can effectively reduce the sidelobe, realizes high resolution, reduces the background noise fluctuation variance through multiple observation snapshots statistical average, enhances the signal-to-noise ratio of the line spectrum output, and improves the line spectrum feature detection performance.

This application relates to a method, apparatus, computer device, and storage medium for determining contextual hot words. The method includes: processing the speech to be recognized and candidate hot words in a candidate word list to determine the frame-level speech vector and the text semantic vector of each candidate hot word at each time step; performing temporal accumulation processing of boundary contributions on the frame-level speech vectors to determine an acoustic boundary sequence, wherein the acoustic boundaries in the acoustic boundary sequence are used to indicate the boundary positions of the frame-level speech vectors in the speech to be recognized; performing local alignment of the candidate hot words and the frame-level speech vectors on the acoustic boundary sequence according to the text lexical length of the candidate hot words to determine the acoustic vector group corresponding to the candidate hot words; and filtering each candidate hot word according to the text semantic vector of each candidate hot word and the frame-level speech vector of the acoustic vector group to obtain the contextual hot words of the speech to be recognized, thereby improving the accuracy of contextual hot word recognition.

The utility model discloses a rainwater collecting device for gardens, which comprises a pre-embedded part and a rainwater filtering structure, wherein the pre-embedded part comprises a pre-embedded shell, an overflow pipe fixedly installed on the front surface of the pre-embedded shell, and a water leakage cover plate clamped on the upper surface of the pre-embedded shell. The rainwater collecting device for gardens is characterized in that: firstly, the pre-embedded shell is pre-embedded by digging a foundation pit on one side of the garden close to a rainwater channel; then, a pull frame is clamped into the pre-embedded shell; when it rains, the rainwater in the garden will flow into the pull frame along the water leakage cover plate; then, the rainwater will sequentially pass through an intercepting assembly and a first filtering assembly to enter a pump body cavity; then, the water filtered in the pump body cavity is pumped into a water return cavity by a water pump; and the water is allowed to return to seep through a second filtering assembly from the bottom of a second filtering cavity, so that the water can be filtered again; and the filtered water can be stored in a clean water cavity, thus, the ground in the garden does not need to be excessively excavated, the objects in the garden are less damaged, and the rainwater collecting device has strong practicability.

The invention relates to a fuel cell system for product management. According to one embodiment, there may be provided a fuel cell system for product management, including: a first fuel tank storing a cathode fuel; a second fuel tank storing anode fuel; a fuel cell stack that receives cathode fuel and anode fuel as reaction gases from the first fuel tank and the second fuel tank and generates electric energy; a purge valve that discharges a product generated by a reaction between a cathode fuel and an anode fuel from the fuel cell stack to the outside; and a control unit that controls the opening and closing operation of the purge valve on the basis of the concentration or internal humidity of the reaction gas in the fuel cell stack.

The application discloses a traditional Chinese medicine formula effective component analysis system and method, and belongs to the technical field of traditional Chinese medicine analysis. The system comprises a data acquisition interface, a characteristic bin sampling module and an effective component content calculation module. The data acquisition interface acquires a mass spectrum response signal of a traditional Chinese medicine extract and converts the mass spectrum response signal into a digital chromatography-mass spectrum data matrix comprising a plurality of component detection points. The characteristic bin sampling module divides the plurality of component detection points into a plurality of characteristic bins based on chromatography retention time values and mass spectrum mass-to-charge ratio values in the data matrix, assigns corresponding characteristic bin identifiers, and generates a plurality of representative detection points. The effective component content calculation module determines the content or relative peak area ratio of a target effective component. The application can dynamically adjust the characteristic bin granularity, support multi-detection channel parallel sampling, and realize multi-component synchronous identification and quantification in combination with deep learning, and is suitable for efficient and accurate component analysis of a traditional Chinese medicine complex system.