40results about How to "Speed up refactoring" patented technology

An integrated, multi-sensor, Level 1 screening device is described, which system provides a next-generation Explosives Detection System (EDS) that enables high throughput, while drastically reducing false alarms. In exemplary embodiments, the present system comprises a non-rotational, Computed Tomography (CT) system and a non-translational, X-ray diffraction (XRD) system, both in an inline configuration.

The invention discloses an erasure code encoding and a data reconstruction method that reduces data update cost, adds an additional diagonal check digit to each coded strip, and designs encoding rules for each diagonal check digit , Eliminate the dependency between the check bits in the array erasure code, reduce the number of check bits associated with each original data bit, and reduce the related check bit update caused by the array erasure code when the original data is updated Cost: Reconstruct the data in the case of single disk failure or double disk failure, and complete the recovery of invalid data when there are less than two data or verification disk failures, so as to realize the function of data fault tolerance. By increasing the storage overhead of a small amount of parity bits, the present invention has higher data encoding and data reconstruction speeds, and reduces the additional update cost of the parity disk when the erasure code system is updating data, which is beneficial to slow down the speed of new NVM Wear and tear of high-speed storage devices such as / SSD.

The invention discloses a block-based observation-based compressed sensing network and a full-image reconstruction method, which mainly solves the problem of poor image quality restored by the existing network. Its network includes an observation subnetwork and a reconstruction subnetwork. The observation subnetwork consists of the first convolutional layer; the reconstruction subnetwork includes a deconvolutional layer, a second convolutional layer, and 12 residual blocks of the same size. , the fifth convolutional layer and the sixth convolutional layer; each residual block includes the third convolutional layer and the fourth convolutional layer; the output of the first convolutional layer is connected to the input of the deconvolution layer, and the reverse The output of the convolution is connected to the input of the second convolutional layer, and the output of the second convolution is connected to 12 residual blocks in turn, and the output of the 12th residual block is connected to the input of the fifth convolutional layer The terminals are connected, and the output terminal of the second convolution and the output terminal of the fifth convolution are commonly connected to the input terminal of the sixth convolution. The network of the invention avoids the block effect of the reconstructed image, improves the image restoration quality, and can be used for image processing.

The invention discloses a method and a device for achieving RAID reconstitution. The method comprises the following steps: identifying that a bad sector exists in a disk of a RAID group; locking sectors of other disks except the disk where the bad sector locates in the RAID group whose location is the same as that of the bad sector, and sectors of the fault disk which causes a RAID reconstitution; respectively obtaining a first data in the sectors of the locked other disks and a second data in the sectors of the locked fault disk; verifying the data in the bad sector based on the obtained first data and second data as well as the priority of the RAID group; storing the verified data into a preserved disk sector in the disk where the bad sector locates, verifying a proof test value based on the verified data and the obtained first data, and storing the proof test value into a sector of a backup disk, wherein the location of the sector of the backup disk is the same as that of the bad sector. The technical scheme increases the efficiency of RAID reconstitution.

The invention belongs to the field of voice reconstruction, and in particular relates to a voice reconstruction method based on millimeter-wave radar phase ranging, comprising the following steps: S1 using a discrete Fourier transform method to obtain a high-resolution one-dimensional range image sequence of a sound source target; S2 One-dimensional range image sequence peak point detection based on unit average constant false alarm detector; S3 Peak point phase information extraction and sound source audio information reconstruction. The beneficial effects obtained by the present invention are: high-quality speech information reconstruction can be realized through the present invention, and in a multi-sound source environment, the radar using the millimeter wave frequency band can actively detect the sound source target and accurately obtain the one-dimensional distance of the sound source target Image, and detect the phase information of the peak point, and then obtain the vibration information of the sound source target, and reconstruct the audio information of the sound source target, effectively eliminating the interference of other sound sources.

The invention relates to an aerosol for repairing skin after sun exposure and a preparation method thereof, belonging to the technical field of medical cosmetology. In order to solve the problem that the existing post-sun repair products are difficult to effectively deal with the inflammatory response and cell damage caused by ultraviolet rays, the present invention provides an aerosol for post-sun skin repair. The main components include fat stem cell exosomes, drug-loaded Nanoliposomes, Hyaluronic Acid, Allantoin, Glycerin and Deionized Water. The present invention uses adipose stem cell exosomes and drug-loaded nanoliposomes with anti-inflammatory, sedative, and free-radical-scavenging effects as main functional components to help damaged skin cells quickly repair damage, eliminate redness, and provide skin cells with post-sunburn reconstruction. Nutrition. The various components in the aerosol of the present invention play a synergistic effect after compounding, replenish sufficient water for damaged skin, restore cell function, promote skin tissue metabolism, and remove oxygen free radicals. At the same time, each component Mild and non-irritating, safe and non-toxic side effects.

The invention discloses a method for remanufacturing a positive electrode material from a waste lithium ion battery. The method comprises the steps of performing pretreatment on the waste lithium ionbattery to obtain positive electrode waste material powder; and performing low-temperature plasma sintering on the positive electrode waste material powder to obtain a repaired and modified positive electrode material. The method is wide in applicable range and flexible in technology; by breaking through limitation of the conventional high-temperature curing method, the positive electrode waste material powder obtained by pretreatment is sintered through the low-temperature plasma, material lattice repair and reconstruction are intensified, and the positive electrode material is obtained, wherein the active material is subjected to metal doping or metal compound coating and modification; and therefore, the electrochemical performance of the re-manufactured positive electrode active material is obviously improved, so that the method has high market prospect.

The invention discloses a fast reconstruction method of a magnetic resonance image based on a tensor product complex wavelet tight frame, and provides a new research method for fast magnetic resonance imaging. The present invention uses the Cartesian sampling trajectory mode to under-sample the K-space data, which greatly improves the scanning speed of the equipment; based on the sparse transformation of the tensor product-complex wavelet tight frame, the image is decomposed from multiple directions, and the accuracy of magnetic resonance imaging is improved. ;Use the projection fast iterative soft threshold algorithm to solve the convex optimization problem in image reconstruction, which accelerates the speed of MRI image reconstruction; and in the projection fast iterative soft threshold algorithm, the regularization is adaptively calculated based on the bivariate shrinkage method Parameters, not only eliminates the process of blindly selecting parameters, but also improves the quality of image reconstruction.