Abstract: A method for cache management in a hyperconverged infrastructure (HCI). The HCI includes a plurality of physical nodes (PNs). The method includes receiving a primary plurality of input/output (I/O) requests at a plurality of virtual machines (VMs), allocating a plurality of local caches (LCs) and a plurality of remote caches (RCs) to the plurality of VMs, receiving a secondary plurality of I/O requests at the plurality of VMs, and serving the secondary plurality of I/O requests. Each of the plurality of VMs runs on a respective corresponding PN of the plurality of PNs. The plurality of LCs and the plurality of RCs are allocated based on the primary plurality of I/O requests. The secondary plurality of I/O requests is served based on the plurality of LCs and the plurality of RCs.

Abstract: The present invention discloses a method for building a co-culture model for Caco-2/RAW-264.7 cells induced by lipopolysaccharides and an application of the co-culture model. The method includes: 1) culturing Caco-2 cells and RAW-264.7 cells; 2) inoculating the 5 Caco-2 cells onto an AP side of an upper chamber of a Transwell plate, and incubating; 3) inoculating the RAW-264.7 cells onto a 24-well plate, and incubating; 4) transferring the upper chamber of the Transwell plate into the 24-well plate; 5) dissolving lipopolysaccharides in PBS to prepare a stock solution, filtering, and diluting for later use; and 6) adding an LPS-10% DMEM medium on a BL side, incubating, and forming an intestinal inflammation model.

Abstract: The present disclosure discloses a classification method and system for fine-grained mixed sedimentary rocks, a medium and a terminal. Core description and thin section observation are used to accurately identify the sedimentary structure types and their vertical distribution characteristics from the macroscopic and microscopic perspectives, and indicates the mixed sedimentation characteristics of combination of different lamina or laminar couplets. The micro-drilling sampling technique is used to sample the samples with different types of sedimentary structures while avoiding diagenetic minerals. X-ray diffraction mineral content analysis and a high-precision carbon-sulfur analyzer are used to obtain the contents of different types of minerals and the total organic carbon contents in each sample, respectively, the basic rock type of each sample was determined using a triangular classification diagram.

Abstract: Disclosed is a method for predicting surface quality of a burnishing workpiece. The method includes the steps: using vibration sensors and signal acquisition instrument to acquire vibration signals generated on a surface of the burnishing workpiece during machining, evaluating the surface quality of the burnishing workpiece based on a coupling coordination degree model, processing signals by using an ensemble empirical mode decomposition method, identifying power spectral density, kurtosis and form factor as signal characteristics, identifying a support vector machine as a decision-making model, optimizing penalty parameters and kernel function parameters by using the Bayesian optimization method, and establishing the relationship between the signal characteristics and the surface quality.

Abstract: An efficient gas hydrate production system using flue gas waste heat/solar absorption heat pump to compensate reservoir heat, includes a heat source absorption system, heat pump heating system and reservoir heat compensation system. The invention uses the low-grade heat energy of offshore platform to solve the problems of heat source and energy consumption in the process of natural gas hydrate exploitation. It provides a commercial feasible scheme for large-scale exploitation of natural gas hydrate. The condenser module, evaporator module and injection well module of the invention can be flexibly increased or decreased, and can adapt to a variety of actual hydrate reservoir distribution; the injection well module adopts ball-nozzle, which can disperse and evenly inject the hot injected water into the reservoir, which is convenient for the rapid and effective transfer of reservoir heat and improves the speed of reservoir heat compensation.

Abstract: The present invention discloses an intelligent image sensing device for sensing-computing-cloud integration based on a federated learning framework. The device comprises: intelligent image sensors, edge servers and a remote cloud, wherein the intelligent image sensor is used for perceiving and generating images, and uploading the images to the edge server; the edge server is used as a client; the remote cloud is used as a server; the clients train a convolutional fuzzy rough neural network based on the received images and the proposed federated learning framework; and the intelligent image sensors download the weight parameters of the trained convolutional fuzzy rough neural network from the clients, and classify and recognize the images based on the trained weight parameters. The present invention searches a lightweight deep learning architecture through neuroevolution, and deploys the lightweight deep learning architecture in the image sensors to automatically discriminate and analyze the perceived images.

Abstract: The present invention provides a graphene oxide-tetraethyl orthosilicate (TEOS)/silane composite gel material, and a preparation method and use thereof, and belongs to the technical field of building surface coating. The graphene oxide-TEOS/silane composite gel material provided by the present invention includes the following components: 5-45 parts by weight of graphene oxide dispersion, 30-90 parts by weight of TEOS, 30-80 parts by weight of silane, 1-5 parts by weight of emulsifier, and 1-5 parts by weight of dispersant; the graphene oxide dispersion has a concentration of 0.5-5%. The graphene oxide-TEOS/silane composite gel material provided by the invention can form a hydrophobic anticorrosive coating after coating the surface of a cement-based material, and has excellent water resistance and corrosion resistance.

Abstract: Some embodiments of the disclosure provide a trace nickel-compounded layered magnesium composite material, a method for preparing the composite material, and use thereof. In some examples, the trace nickel-compounded layered magnesium composite material includes a nano-layered magnesium matrix and nano nickel. The nano nickel is distributed on a surface and between inner layers of the nano-layered magnesium matrix. In other examples, the nano-layered magnesium matrix in the composite material has a size of 10-20 nm, a layer thickness of 10-200 nm, and a layer spacing of 10-100 nm. The mass content of the nano nickel in the composite material is 2-6%. The nano nickel in the composite material has a particle size of 3-50 nm.

Abstract: A vibration isolation/damping satellite mount of a chopped carbon fiber reinforced thermoplastic composite material mainly includes two parts, and the two parts are connected through bolts. Considering the limitation of the molding process, the mount configuration is further optimized, and the mount structure is prepared by using the injection molding process. Furthermore, the vibration isolation/damping satellite mount of the chopped carbon fiber reinforced thermoplastic composite material prepared in the present invention can be used for large loads and complex working conditions, and the connectivity, overall strength stability, vibration isolation performance and service life of the mount all meet the design requirements.

Abstract: The disclosure discloses a method and system for adjusting user field of view (FoV) in a three-dimensional virtual reality (VR) scene. The method includes: acquiring two consecutive frames of scene pictures during a period of a user experiencing a VR scene by using a VR device; determining a projected scene flow vector on the basis of the two consecutive frames of scene pictures; generating a virtual scene graph of the two consecutive frames of scene pictures; determining a projected scene flow value of the virtual scene graph on the basis of the projected scene flow vector; determining a peripheral vision pixel of the virtual scene graph; calculating a projected scene flow average value of the peripheral vision pixel on the basis of the projected scene flow value of the virtual scene graph; and dynamically adjust a FoV of the user on the basis of the projected scene flow average value.

Abstract: The present invention discloses a method for point cloud up-sampling based on deep learning, including: obtaining training data including a first number of sparse input points and a second number of dense input points; constructing a deep network model to be used for respectively performing replication and sampling operation based on curvature on initial eigenvectors extracted from the first number of sparse input points to obtain a second number of intermediate eigenvectors, performing splicing operation on each intermediate eigenvector, inputting the spliced intermediate eigenvectors into a multilayer perceptron, and determining sampling prediction points based on the sampling eigenvectors output by the multilayer perceptron; training the deep network model until an objective function determined by the sampling prediction points and the dense input points converges; and testing the deep network model to obtain point cloud data of an object under test after up-sampling.

Abstract: The present disclosure relates to a PointEFF method for urban object classification with LiDAR point cloud data, and belongs to the field of LiDAR point cloud classification. The method comprises: point cloud data segmentation; End-to-end feature extraction layer construction; External feature fusion layer construction; and precision evaluation.

Abstract: The present invention discloses an ultra-high-polarity chiral liquid crystal material, a liquid crystal laser and a preparation method therefor. The ultra-high-polarity chiral liquid crystal material has, in a certain temperature range, a high dielectric constant of ?˜104 and a characteristic of extremely-strong second harmonic response 3 to 10 times as much as that of a quartz crystal, and a pitch of the ultra-high-polarity chiral liquid crystal material is adjusted within 0.1 to 1 micrometer according to a doped concentration of the chiral molecule.

Abstract: A mineral spring generator has a machine body and a pipeline disposed in the machine body. Two ends of the pipeline respectively have a water inlet and a water outlet. A solenoid valve is connected between the pipeline. At least two injection channels are connected to the pipeline at intervals along a direction of a water flow in the pipeline. A micromotor is connected between each of the at least two injection channels. An outer end of each of the at least two injection channels is connected to a material container. Each material container is adapted to be filled with a liquid mineral spring concentrate. When the present invention is used, water is inputted through the water inlet, and the solenoid valve and the micromotors are activated to add the mineral spring concentrates in the at least two material containers to different positions of the pipeline.

Abstract: The present invention belongs to the field of printing, and specifically relates to a method for acquiring a color density characteristic curve in printing, including: designing a standard N-color level image of a single color channel; performing printout and scan correction on the standard N-color level image; performing edge finding operation on a corrected image; dividing the image into regions; and calculating a deviation. According to the method for acquiring a color density characteristic curve in printing by channels provided by the present invention, the color density characteristic curve of all the color channels may be obtained by sequentially using the method in the present invention on the color channels. The method in the present invention provides a basis for studying the performance of a printing system and further solving the problem of color density characteristic deviations at different positions.

Abstract: A method for frequency estimation in a power system. The method includes detecting a condition of the power system, applying a first estimation process to a voltage signal of the power system responsive to a normal condition being detected, and applying a second estimation process to a current signal of the power system responsive to a fault condition being detected. The condition of the power system is detected utilizing a protective device. The condition of the power system includes one of a normal condition and a fault condition.

Abstract: A method for performing lower limb rehabilitation training comprises the steps of: (a) placing a training object's feet on a pedal in a limb rehabilitation training system, wherein the pedal comprises a pressure sensor and a location information sensor; (b) standing stably on the pedal to enable the pressure sensor on the pedal to record the body weight of the training object; and (c) sitting down on the saddle, thereby enabling: the pressure sensor on the pedal to monitor pressure variation between the training object and the pedal throughout the training of the training object, wherein the rehabilitation evaluating unit evaluates the physical status and rehabilitation status of the training object according to the physiological information and exercise information of the same collected by the sensing unit, and adjusts the exercise frequency and the exercise duration of the training object according to the physical status.

Abstract: A leveling adjustment device attached to a machine tool with supporting foot portions being adjusted manually to change a height, which includes a sensing module and a microcontroller unit. The sensing module senses the machine tool for inclined extents in two directions perpendicular to each other and then generates a sensed data. The microcontroller unit receives the sensed data and provides a graphical operation interface with first blanks and second blanks. The first blanks are used to fill with a length and width data of the machine tool while the second blanks are used to fill with a coordinate data corresponding to each of the supporting foot portions. The microcontroller unit calculates an adjustment sequence and an adjustment value corresponding to each of the supporting foot portions based on the data in the first and second blanks in conjunction with the sensed data and then displays in the graphical operation interface.

Abstract: The present invention provides a pose estimation method for an unmanned aerial vehicle based on point, line and plane feature fusion, the method comprises the following steps: S1 extracting an RGB image and a depth map by using an RGB-D camera; S2 constructing a plane parameter space (PPS) according to the depth map, and mapping the depth map from a Cartesian space to the plane parameter space (PPS); S3 constructing an inverse octree structure, comprising: reversely constructing cell nodes for the plane parameter space (PPS) according to an octree rule, and for each cell node, performing fitting by using Gaussian distribution; S4 extracting a plane feature, comprising: extracting the plane feature on the basis of degree of feature extraction algorithm of the inverse octree; S5 extracting a linear feature, comprising: extracting a linear feature on the RGB image by using LSD algorithm detection.

Abstract: A data classification method and a device thereof for hierarchical multi-label classification are proposed. The data classification device includes an encoder configured to vectorize data, a decoder configured to receive the vectorized data from the encoder, and classification data stored in the decoder, wherein the decoder starts classification of the vectorized data on the basis of a first node in the classification data, allocates a plurality of nodes included in the classification data to the vectorized data, and forms partial layers based on the allocated nodes with respect to the vectorized data, and when terminal nodes or temporary nodes are allocated among the nodes, the decoder ends the allocation to the partial layers to which the terminal nodes or the temporary nodes are allocated and allocates final partial layers formed on the basis of the partial layers to the data.