Abstract: The disclosure belongs to the technical field of additive manufacturing, and discloses a flexible piezoelectric sensor based on 4D printing. The sensor includes a magnetic part and a conductive part, wherein: the conductive part includes two substrates disposed opposite to each other and a spiral structure disposed between the two substrates. Both the two substrates and the spiral structure are made of conductive metal materials. The magnetic part has a flexible porous structure and is arranged between the two substrates to generate a magnetic field. When the two substrates are subjected to external pressure, the spiral structure and the magnetic part are compressed simultaneously, the magnetic flux passing through the spiral structure changes, and the voltage of the two substrates changes, by measuring the voltage change of the two substrates to reflect the change of external pressure, the pressure measuring process is achieved.

Abstract: A cabin cover and a wind turbine generator set are provided. The cabin cover includes: a cover, the cover including first plates, second plates, and at least one support beam, the first plate and the second plate being alternately arranged, at least one group of adjacent first plate and second plate being spaced apart from each other and being fitted to the support beam, and the first plates, the second plates, and the support beams jointly enclosing an accommodating chamber; and fasteners, two or more of fasteners being provided and disposed in the accommodating chamber, at least one fastener detachably connecting the first plate to the support beam, and at least one fastener detachably connecting the second plate to the support beam.

Abstract: A Pickering particle dry powder and a preparation method are used in food processing. The preparation method includes stirring peanut protein isolate and water as raw materials to obtain peanut protein isolate dispersion, subjecting the peanut protein isolate dispersion to ultrasonic treatment, subjecting the resultant to cross-linking reaction with transglutaminase to obtain a monolithic geld, shearing and homogenizing the monolithic gel to obtain a microgel particle dispersion, spray drying the microgel particle dispersion to obtain the Pickering particle dry powder. The Pickering particle dry powder prepared by the ultrasonic-assisted enzyme method is still in nanometer level after rehydration, which is beneficial to preparing Pickering emulsion with strong stability. The preparation method has the advantages of simple operation and low cost, which is beneficial to actual production in the food industry.

Abstract: Disclosed are a distributed quantum imaging method, apparatus and system, and a computer-readable storage medium. The distributed quantum imaging system comprises a plurality of laser devices that are placed at different spatial positions, a plurality of spatial light modulators, a detector and an imaging processor, wherein each laser device uniquely corresponds to one spatial light modulator.

Abstract: The disclosure belongs to the technical field of additive manufacturing, and discloses a flexible piezoelectric sensor based on 4D printing and a preparation method thereof. The sensor includes a magnetic part and a conductive part, wherein: the conductive part includes two substrates disposed opposite to each other and a spiral structure disposed between the two substrates. Both the two substrates and the spiral structure are made of conductive metal materials. The magnetic part has a flexible porous structure and is arranged between the two substrates to generate a magnetic field. When the substrate is subjected to external pressure, the spiral structure and the magnetic part are compressed simultaneously, the magnetic flux passing through the spiral structure changes, and the voltage of the two substrates changes, by measuring the voltage change of the two substrates to reflect the change of external pressure, the pressure measuring process is achieved.

Abstract: An image compression sampling method and assembly are provided. The method includes: performing sparse representation on a target image by using an initial sparse matrix, quantifying an initial sparse representation result to obtain an optimized sparse representation result, and obtaining an optimized sparse matrix; constructing a product matrix by using the optimized sparse matrix and an initial measurement matrix, and adjusting absolute values of off-diagonal elements in the product matrix to be less than a correlation threshold; performing singular value decomposition on the product matrix to obtain a diagonal matrix and a left singular matrix, and updating the diagonal matrix according to a quantity of samplings of the initial measurement matrix; and optimizing the initial measurement matrix by using the left singular matrix and the updated diagonal matrix to obtain an optimized measurement matrix, and collecting image data by using the optimized sparse matrix and the optimized measurement matrix.

Abstract: The present invention discloses a filtering method and system of parallel computing results, through simultaneously generating the input value of the first valid position fvp of each fragment, and simultaneously computing to obtain the output result corresponding to the input value of each first valid position fvp with the respective first valid position fvp of each fragment, and according to the output result of the first valid position fvp of the first fragment, the parallel computing results are filtered through the manner of selecting the output results of the second to the S-th fragments in sequence, to finally obtain correct parallel computing results. In the present invention, through adopting the manner of parallel filtering, the original serial filtering computation is changed to parallel computation of S fragments, the computing time is only one S-th of the original time, thereby improving the computing efficiency and satisfying the timing requirements of parallel computation.

Abstract: Provided are a method, apparatus and device for extracting image features, and a storage medium. The method includes: obtaining parameters to be quantized of a network layer in a neural network model (S101); determining whether values of the parameters to be quantized are all positive numbers (S102); when the values of the parameters to be quantized are all positive numbers, executing, based on an asymmetric linear quantization logic, a quantization operation on the parameters to be quantized (S103); when the values of the parameters to be quantized are not all positive numbers, executing, based on a symmetric linear quantization logic, a quantization operation on the parameters to be quantized (S104); and extracting features of an input image by using the neural network model for which the quantization operation has been executed (S105).

Abstract: An image compression sampling method and assembly are provided.

Abstract: The present invention provides a method and apparatus for data caching. The method comprises: output matrixes are acquired one by one, a plurality of acquired output matrixes are written alternately into two queue sets of a first cache unit according to a sequence in which the output matrixes are acquired, and the output matrixes stored line by line in a first cache unit are written into a second cache unit one by one, according to the sequence in which the output matrixes are written into the second cache unit, valid data of each output matrix of the second cache unit is determined one by one according to preset parameters, and the valid data of each output matrix is written into a third cache unit, and the valid data of the output matrixes stored in the third cache unit are configured to be sequentially written into a memory according to a sequence in which the valid data are written into the third cache unit.

Abstract: The present invention provides a method and apparatus for data caching. The method comprises: output matrixes are acquired one by one, a plurality of acquired output matrixes are written alternately into two queue sets of a first cache unit according to a sequence in which the output matrixes are acquired, and the output matrixes stored line by line in a first cache unit are written into a second cache unit one by one, according to the sequence in which the output matrixes are written into the second cache unit, valid data of each output matrix of the second cache unit is determined one by one according to preset parameters, and the valid data of each output matrix is written into a third cache unit, and the valid data of the output matrixes stored in the third cache unit are configured to be sequentially written into a memory according to a sequence in which the valid data are written into the third cache unit.

Abstract: Provided are a sequence alignment method and system. The method comprises: searching for candidate alignment locations of all seeds in a sequence to be aligned, and after performing normalization processing on the candidate alignment locations of all seeds, acquiring the longest seeds of various types in a bitmap mode; and then filtering out all seeds covered by the longest seeds, so that the number of candidate comparison locations needing to be aligned subsequently is reduced. Therefore, the workload of subsequent alignment work is greatly reduced, the sequence alignment speed is increased, and meanwhile, the alignment precision is guaranteed.

Abstract: A method and system for filtering a parallel computing result. The method comprises: simultaneously generating an input value of a first valid position (FVP) of each fragment, simultaneously calculating the input value of the FVP respectively corresponding to each fragment to obtain an output result corresponding to the input value of each FVP, sequentially selecting the approach of the output result of second to S-th fragments according to the output result of the FVP of each fragment, and filtering the parallel computing result to finally obtain the correct parallel computing result. The use of the parallel filtering approach changes the original serial filtering computing into the parallel computing of S fragments. The computing time is only one-S times of the original time, which can meet the time sequence requirement of the parallel computing while improving the computing efficiency.

Abstract: A filter processing method for a sequence alignment is provided. The method includes: searching for absolute locations of all seeds of a to-be-aligned sequence in a reference sequence; performing segmentation on the absolute locations of the seeds to obtain relative locations of the seeds; dividing the reference sequence into multiple reference sub-sequences and establishing a mapping relationship between a relative location of each seed and a corresponding reference sub-sequence; determining a reference sub-sequence to which each seed belongs and counting the occurrence numbers of the seeds in each reference sub-sequence; filtering out a reference sub-sequence that does not meet a preset condition to obtain a target reference sub-sequence; and recovering a real CAL based on a difference between a relative location and an absolute location of each seed in the target reference sub-sequence.