42results about How to "Speed ​​up the rebuilding process" patented technology

The invention discloses a super-resolution image restoration method based on a generative adversarial network, and the method specifically comprises the steps: 1, collecting and arranging real image data, processing the collected images into images with the same size, and enabling the processed images with the same size to form a training data set; 2, constructing a generative adversarial networkmodel, wherein the generative adversarial network model comprises a generator and a discriminator; 3, marking each image in the training data set with a mask with the same size to obtain a to-be-restored image, importing the to-be-restored image into the generative adversarial network model, and training the generative adversarial network model in a weak supervised learning mode to obtain a trained image; and 4, inputting the training image into the U-Net generation network to repair the trained image to be repaired, and outputting a repaired high-resolution image. The problems that in the prior art, the resolution ratio is low after large-area image missing is repaired, and the visual effect is not coherent are solved.

The invention discloses a method for denoising a space self-adaption threshold video based on a Surfacelet transform domain, and the method is mainly used for solving the phenomena of unsatisfactory video denoising effects, excessive denoising course complexity, artifact and pseudo Gibbs' effect in a solution course and the like. The method disclosed by the invention is implemented through the following courses: outputting a video to be denoised and carrying out Surfacelet transform; respectively evaluating the noise of factors in the direction subband of each Surfacelet decomposition; computing self-adaption thresholds by utilizing the space energy values of the factors; adjusting the thresholds by utilizing the adjacent domain information of the factors; denoising by utilizing a threshold function; and reconfiguring the denoised factors, thus obtaining the denoised video. Compared with the prior art, the method disclosed by the invention has the advantages of obviously reducing the computing complexity, enhancing the PSNR (Peak Signal to Noise Ratio) value of the denoised video and effectively maintaining the detail information of the video, and can be used for natural video denoising and three-dimensional image denoising.

A multi-spectral reconstruction method based on adaptive finite element comprising the following steps: discretizing the diffusion equation in the object domain on the single spectral; establishing the relationship between the boundary measurement data and the unknown source variables on single spectral based on a posteriori permissible source region selection method, and forming the objective function based on the multi-spectral characteristics and the regularization method; optimizing the objective function and determining if the reconstruction shall be stopped or not; and if the reconstruction shall not be stopped, refining the mesh adaptively by using a posteriori measure method, and then returning to the first step to continue the reconstruction process. This method uses kinds of a priori information and the multi-spectral information, combined with the adaptive finite element method, proposes a posteriori permissible source region strategy, improves the reconstruction quality and speed of BLT availably, and reduces the ill-posedness of this imaging modality.

The invention relates to a joint route-multiple multiple access method based on a wireless body area network (WBAN), belonging to the field of WBAN. With respect to the WBAN composed of sensor nodes for collecting different data services, through the method, a multi-hop tree topology is constructed so as to realize multiple access and gather the data collected by the nodes to a central control node along a the tree structure route at the same time. In case of a data demand, the central control node sends a command packet to sub-nodes which construct the tree topology in the carrier sense multiple access (CSMA) manner. The nodes on each branch of the tree topology are nodes for collecting the same data service. With respect to the nodes far away from a sink node, a replay node is introduced in a proper position on the trunk of the body to reduce the communication distance while avoiding the data loss at nodes positioned on both sides of limbs due to movement of the limbs. The method introduces the relay node and arranges the limbs nodes with mobility model, so as to save energy and improve data transmission reliability at the same time.

In Magnetic Particle Imaging (MPI) the reconstruction requires the knowledge of a so called system function. This function describes the relation between spatial position and frequency response and is currently measured once for a scanner set-up and a tracer material. For reasonable resolutions and fields of view the system function becomes quite large, resulting in large acquisition times to obtain reasonable signal-to-noise. However, the system function has a number of properties which can be used to improve signal-to-noise. According to the present invention use is made of the spatial symmetry and / or identical responses at different frequencies for this purpose.

The invention discloses a mechanical arm grabbing planning method and system combined with self-supervised learning, and the method comprises the steps: generating a plurality of grabbing postures through the complete point cloud of an object, obtaining a pair of contact points between the grabbing postures and the complete point cloud of the object, comparing the included angles between the normal vectors, pointing to the interior of the object, of the pair of contact points and the unit vectors, serving the tangent value of the large included angle as the quality coefficient of the grabbing posture, and generating a category label for the grabbing posture; serving the multiple grabbing postures with the category labels as training data, training the classification neural network to be converged, and obtaining a grabbing quality classification model; and generating a plurality of candidate grabbing postures through the complete point cloud of the object to be grabbed, scording and classifying the candidate grabbing postures through the grabbing quality classification model, and serving the candidate grabbing posture with the highest score and the category of the candidate grabbing posture as the optimal grabbing plan of the mechanical arm. The self-supervised learning mode is introduced to construct the training data, robust grabbing of unknown objects in the multi-target stacking scene is achieved, and the grabbing success rate of the mechanical arm is increased.

The invention discloses a preparation method for a PVDF / GBT composite bone scaffold. The method comprises the steps that by using an in-situ polymerization method, DBT powder of a core-shell structurewith BaTiO3 coated with polydopamine is obtained on the surface of the BaTiO3; the DBT powder and PVDF powder are subjected to liquid mixing, ultrasonic treatment, stirring, dispersion, drying and grinding to obtain PVDF / DBT composite powder; the PVDF / DBT composite powder is subjected to selective laser sintering to obtain the PVDF / GBT composite bone scaffold. The BaTiO3 nano-particles which areuniformly dispersed have high performance of interface bonding with PVDF, good piezoelectric, mechanical and biological properties are given to the scaffold, an endogenous electrical microenvironmentgenerated by the scaffold can generate electrical stimulation to bone cells, and therefore, adhesion, proliferation and differentiation of the bone cells on the bone scaffold are promoted.

The invention relates to a filling material for bone defect repairing and a preparation method. The filling material comprises carboxymethyl cellulose, a decalcified bone matrix and a slow-release flavone microcapsule, wherein the weight ratio of the carboxymethyl cellulose to the decalcified bone matrix is 13:87; in addition, counted by the total weight of the carboxymethyl cellulose and the decalcified bone matrix, 0.03-0.12% of the slow-release flavone microcapsule is added; during preparation, the preparation method comprises the following steps: accurately weighing the prepared decalcified bone matrix and the prepared carboxymethylcellulose, uniformly mixing, adding the slow-release flavone microcapsule therein, preparing a finished product, packaging, performing irradiation sterilization, and preserving at -20 DEG C to obtain plastic transplanted bone mud. The filling material is stable in physical properties, strong in plasticity and convenient to use; the filling material promotes growth of new bone and disappearance of a fracture line and is more closely connected with a host bone; the filling material is a bone repairing material which is cheap, safe, effective, convenient to use and can be preserved for a long time, and can shorten the treatment time and reduce the pain of a sick pet.

The invention discloses a silicon-doped hydroxyapatite based vascularization-promoting porous scaffold material, and a preparation method and application of the porous scaffold material, and belongs to the technical field of biological materials. The silicon-doped hydroxyapatite based vascularization-promoting porous scaffold material has a molecular formula of Ca<10>(PO4)<6-x>(SiO4)<x>(OH)<2-x>,wherein x is more than 0 and less than 0.75. The stent material provided by the invention has directional gradient pores which are in communication along the radial direction, and meanwhile, the porescommunicate with each other, so that cell adhesion and regeneration are facilitated, and whole-layer skin repair related cells grow into the center from the edge and the bottom of a wound. In addition, the scaffold material prepared by the preparation method also has good biocompatibility, controllable biodegradability and mechanical property, and has a wide application prospect.

The invention discloses an X-ray image linear reconstruction method, which comprises the steps: obtaining an X-ray projection image, introducing a regular term based on total variation prior, and constructing a reconstruction target function; introducing super prior parameters, and constructing a layered Bayesian model; introducing a split variable by using a variable splitting method, and separating a data fidelity term and a TV regular term to obtain joint probability density distribution in a split form; defining a super-prior variable based on Jefferys prior to obtain condition distribution of each variable; iteratively updating the super-prior parameters, and solving conditional distribution of split variables containing TV regular terms; approximating the full-condition probability density distribution of the to-be-solved parameter by utilizing the low-rank property of the forward matrix, and calculating the target distribution of low-rank approximation to obtain a closed solution about the to-be-solved parameter; and calculating the mean value of the sampling samples, and estimating the to-be-solved parameters. According to the method, the problems of high calculation overhead and the like in solving the large-scale linear inverse problem can be effectively solved.

The invention discloses a disk array reconstruction method and a device. By utilizing the technical scheme, during the reconstruction process of the array, the pressure of data stream can be shared by other memory devices with surplus capacity so as to accelerate the reconstruction process, so the monitored data is free from being lost caused by the decrease of the array reconstruction performance, the reading and writing reliability of the data of the system can be improved, and the processing efficiency of the array reconstruction in the system can be improved.

The invention discloses a bone cell LIMK2 gene and application of expression products of the bone cell LIMK2 gene. The expression products can be applied to preparing medicines for treating diseases related to bone remodeling processes. The bone cell LIMK2 gene and the application have the advantages that the bone cell LIMK2 gene and / or the expression products of the bone cell LIMK2 gene are inhibited, so that remodeling of cytoskeletons of bone cells under the effects of fluid shear force can be inhibited, the mechanical sensitivity of the bone cells can be directly and specifically subjected to up-regulation, and proliferation of the bone cells can be promoted; functions of osteoblasts and osteoclasts can be regulated and controlled by the bone cells, accordingly, the bone remodeling speed and balance can be controlled, the bone remodeling processes can be ultimately accelerated, and repair and reconstruction procedures for diseases such as bone fracture, osteoporosis, bone defect diseases, dysosteogenesis and bone malformation can be accelerated.

The invention discloses a layered self-adaptive threshold video denoising method. The method comprises the following steps: inputting a video with noise, and performing Surfacelet transformation on the video; respectively performing noise variance estimating on a coefficient decomposed by each Surfacelet layer in a direction sub-band; utilizing the size of the sub-band coefficient of the direction of each layer to calculate an initial threshold; for a high-layer decomposition sub-band, utilizing coefficient field information to perform self-adjustment on the obtained initial threshold of the layer; for other layers, utilizing a direction-energy ratio to perform self-adjustment on the initial threshold of each layer; and utilizing a soft threshold function to perform denoising processing, and reconstructing a denoised coefficient to obtain a denoised video. The method provided by the invention remarkably reduces calculating complexity, improves the PSNR value of the denoised video, can effectively keep the detail information of the video, and can be applied to natural video denoising and three-dimensional image denoising.

The invention discloses a zinc-doped porous bioactive glass ceramic and a preparation method thereof. Zn(NO3)2 serves as a zinc source, and the Zn element participates in a reaction system in the rawmaterial stage, so that uniform distribution of the Zn element in the system is facilitated. Due to the addition of a proper amount of the zinc element in the porous bioactive glass ceramic, the mechanical strength of a porous bioactive glass ceramic material is improved, and after the material is implanted into the body, the Zn element in the material can be continuously and slowly released intosurrounding body fluid and further plays a beneficial role in expression of osteoblast related protein, and finally the formation of new bones is induced and promoted to accelerate the reconstructionprocess of bone defect / injury parts.

This invention relates to remediation systems, and more particularly to remediation systems for water, soil, and sediment bodies using thin-layer coated microbubbles.

The invention provides an unconstrained scanning and voxel-based three-dimensional real-time bone imaging method. According to the method, a voxel-based reconstruction algorithm in a traditional three-dimensional reconstruction technology is applied to skeletal system imaging, a traditional projection method used in the algorithm is optimized and accelerated, and an FDP method is proposed to achieve a real-time reconstruction effect. Because the method provided by the invention is a voxel-based reconstruction algorithm, large-area and large-range imaging (covering the whole back area of a general adult) can be carried out. The method is different from a traditional stacked scanning reconstruction method for three-dimensional bone imaging to the greatest extent. Finally, the technology provided by the invention is also suitable for general non-real-time reconstruction, and is used for accelerating the whole reconstruction process.

The invention discloses a system matrix generation and processing method for accelerating positron image reconstruction, and belongs to the field of ray detection imaging. The method includes the following steps: (1) proposing a new system matrix establishment method instead of the system matrix establishment method in an original MLEM algorithm; (2) proposing a method for accelerating the processof positron image reconstruction by processing system matrix based on the MLEM algorithm. The method improves the overall efficiency of the positron image reconstruction process.

The invention discloses a preparation method of hairtail active extract for repairing bone joints; the preparation method comprises the steps of enzyme complex hydrolysis, multistage membrane filtration, nanofiltration, HPLC (high-performance liquid chromatography) eluting and lyophilizing; the step of enzyme complex hydrolysis includes enzymatically hydrolyzing hairtail flesh homogenate via Bacillus marinus alkali-producing proteinase and Porphyra yezoensis proteinase, and performing ultrasonic-assisted enzymatic hydrolysis. The preparation method has the advantages that marine organism proteins are greatly differed from terrestrial life proteins in both amino acid composition and amino acid sequence and hairtail proteins can be enzymatically hydrolyzed via the Bacillus marinus alkali-producing proteinase and Porphyra yezoensis proteinase to obtain mass active peptides; the obtained hairtail active extract can promote the generation of cartilage cells, joint synovial fluid can be massively induced and supplemented, the generation of collagen matrix can be effectively promoted, regeneration of connective tissue cells is stimulated, and the reconstruction and recovery of soft tissues are accelerated accordingly.

The invention discloses liquid with effects of clearing and activating the channels and collaterals and a preparation method and application thereof. The liquid consists of the following components in parts by weight: 90.0 parts of small molecule water, 4-5 parts of propylene glycol, 4-5 parts of glycerin, 1.2-1.5 parts of triethanolamine, 1.2-1.5 parts of Carbomer 940, 0.2-0.3 part of allantoin, 0.6-1.5 parts of the root of red-rooted salvia, 0.25-0.5 part of panaxoside, 1.8-2.5 parts of astragalus extracting solution, 0.8-1.5 parts of total saponin of panax notoginseng, 0.25-0.5 part of Ligusticum wallichii extracting solution and 0.1-0.15 part of ethylparaben. The liquid with effects of clearing and activating the channels and collaterals disclosed by the invention acts on the skin surface and can achieve the effects of accelerating skin blood circulation, promoting metabolism, cleaning and nourishing the skin and regulating the moisture content and fat balance of the skin, so that the skin is smooth and soft, and the color of the skin is improved. Therefore, the skin is shining and smooth, the skin barrier is enhanced, the skin resistance is improved, and the liquid contributes to defying age and preventing and reducing stains.

The invention provides a VDF (Victim Disk First) based cache memory replacement method. The method comprises the following steps: calculating the weight of a bottom memory block in all local stacks, deleting memory blocks with the maximum / or minimum weight in all the local stacks, wherein the weight calculation methods are different for a victim disk and a non-victim disk; putting a disk block in an available memory block obtained after deletion. Since the probability that the weight of the memory block of the victim disk is maximum or minimum is high, the purpose of preferentially retainingthe memory disk of the victim disk is reached. In the method, I / O (Input / Output) request frequency for the whole live disk is reduced by reducing the directing frequency of the cache to the victim disk, and less I / O requests can improve the performance of a disk array.

The invention relates to a CoFe2O4 / PVDF composite bone scaffold and a preparation method thereof. The CoFe2O4 / PVDF composite bone scaffold is prepared by the following steps: mixing and stirring ethanol suspension of CoFe2O4 and ethanol suspension of PVDF, performing solid-liquid phase separation on the obtained CoFe2O4 / PVDF mixed suspension, drying and ball-milling the obtained solid phase to obtain composite powder, and performing selective laser sintering on the composite powder. According to the CoFe2O4 / PVDF composite bone scaffold provided by the invention, remote non-contact electrical stimulation on bone cells can be realized by externally applying an alternating magnetic field, so that growth of osteoblasts and regeneration and reconstruction of defective tissues are promoted.

The invention provides a method for compressing a color computer hologram through a quantum neural network based on gradient optimization, and belongs to the technical field of compression and transmission of computer holograms. According to the invention, a color computer hologram is manufactured by adopting a bandwidth-limited angular spectrum method for calculation and a double-phase encoding mode. A method for compressing a color computer hologram in an RGB color space through a gradient-optimized quantum neural network is provided, and corresponding network models are trained according to the characteristics of computer holograms with different wavelengths. The computer hologram decompressed by the method is reproduced by adopting a bandwidth-limited angular spectrum method, and is synthesized into a color reproduced image. According to the invention, the compression of the color computer hologram is accelerated, and higher decompressed color computer hologram and color reproduced image quality are obtained.

The invention discloses a portable osteoporosis treatment instrument based on Internet of Things. The portable osteoporosis treatment instrument includes a main body and a treatment pad. According tothe osteoporosis treatment instrument, a modular integrated circuit and portable design are adopted, a remote mobile payment and control technology based on the Internet of Things is utilized, therefore, realistic requirements of various sites (such as communities and families) and different users (medical institutions at all levels or individuals) on osteoporosis treatment equipment are met, timeand costs of medical treatment of patients can also be greatly reduced, risks of fractures associated with going to hospital and back are reduced to the maximum degree, and optimization and allocation of rehabilitation medical resources of whole society can be promoted. After low-frequency pulse magnetic fields with specific waveforms, frequencies and intensities are sent by the osteoporosis treatment instrument and act on human-body bones, the activity of osteoblasts can be promoted and improved, cell behaviors, collagen aggregation and collagen arrangement are influenced, thus, the bones adaptively change, forming and rebuilding of the bones are accelerated, bone microstructures are improved, bone mineral density is increased, biomechanical characteristics of the bones are enhanced, bone metabolism is improved, calcium absorption of the bones is promoted, and therefore significant therapeutic effects are achieved.

The invention discloses a system matrix generation and processing method for accelerating positron image reconstruction, and belongs to the field of ray detection imaging. The method includes the following steps: (1) proposing a new system matrix establishment method instead of the system matrix establishment method in an original MLEM algorithm; (2) proposing a method for accelerating the processof positron image reconstruction by processing system matrix based on the MLEM algorithm. The method improves the overall efficiency of the positron image reconstruction process.

The invention provides a multi-modal medical image reconstruction method, which comprises the following steps: acquiring a first image of a scanned object, and identifying a plurality of organs of the scanned object based on the first image; segmenting the first image into a plurality of parts according to a plurality of organs, and endowing each part with a different voxel value; selecting each part in the plurality of parts, and respectively calculating the area center of each part; respectively moving the center of each area to a first central position, a front position and a rear position, and respectively acquiring functional scanning data of each part of the first image at the first central position, the front position and the rear position; according to the voxel values, different reconstruction parameters are given to the function scanning data obtained at the different positions, and a function image of the scanning object is reconstructed based on the reconstruction parameters. According to the reconstruction method provided by the invention, the reconstruction process can be accelerated in the process of reconstructing a plurality of functional images at the same time, and the use efficiency of the multi-modal image system is improved.